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Autor Tan, Tieniu |
Documentos disponibles escritos por este autor (13)
Crear una solicitud de compra Refinar búsqueda4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I / Ma, Huimin ; Wang, Liang ; Zhang, Changshui ; Wu, Fei ; Tan, Tieniu ; Wang, Yaonan ; Lai, Jianhuang ; Zhao, Yao
TÃtulo : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIX, 617 p. 219 ilustraciones, 208 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88004-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Aprendizaje automático Implementación de sistema informático Redes de comunicación informática Visión por computador Sistema informático Red informática IngenierÃa Informática IngenierÃa Informática y Redes Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Object Detection, Tracking and Recognition -- High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR -- CRNet: Centroid Radiation Network for Temporal Action Localization -- Weakly Supervised Temporal Action Localization with Segment-Level Labels -- Locality-constrained collaborative representation with multi-resolution dictionary for face recognition -- Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion -- STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition -- Attentive Contrast Learning Network for Fine-grained Classification -- Relation-Based Knowledge Distillation for Anomaly Detection -- High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection -- Relation-Guided Actor Attention for Group Activity Recognition -- MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification -- Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection -- Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network -- SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization -- Conditioners for Adaptive Regression Tracking -- Attention Template Update Model for Siamese Tracker -- Insight on Attention Modules for Skeleton-Based Action Recognition -- AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context -- Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video -- Scale-aware Multi-branch Decoder for Salient Object Detection -- Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5 -- POT: A Dataset of Panoramic Object Tracking -- DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network -- Scene Semantic Guidance for Object Detection -- Training Person Re-Identification Networks with Transferred Images -- ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection -- Research of robust video object tracking algorithm based on Jetson Nano embedded platform -- Classification-IoU Joint Label Assignment For End-to-End Object Detection -- Joint Learning Appearance and Motion Models for Visual Tracking -- ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow -- Local Mutual Metric Network for Few-Shot Image Classification -- SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation -- Control Variates for Similarity Search -- Pyramid Self-Attention for Semantic Segmentation.-Re-identify Deformable Targets for Visual Tracking -- End-to-End Detection and Recognition of Arithmetic Expressions -- FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization -- Appearance-Motion Fusion Network for Video Anomaly Detection -- Can DNN Detectors Compete against Human Vision in Object Detection Task? -- Group Re-Identification Based on single feature attention learning network(SFALN) -- Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking -- Group-Aware Disentangle Learning for Head Pose Estimation -- Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry -- Multi-Criteria Confidence Evaluation for Robust Visual Tracking. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 617 p. 219 ilustraciones, 208 ilustraciones en color.
ISBN : 978-3-030-88004-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Aprendizaje automático Implementación de sistema informático Redes de comunicación informática Visión por computador Sistema informático Red informática IngenierÃa Informática IngenierÃa Informática y Redes Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Object Detection, Tracking and Recognition -- High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR -- CRNet: Centroid Radiation Network for Temporal Action Localization -- Weakly Supervised Temporal Action Localization with Segment-Level Labels -- Locality-constrained collaborative representation with multi-resolution dictionary for face recognition -- Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion -- STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition -- Attentive Contrast Learning Network for Fine-grained Classification -- Relation-Based Knowledge Distillation for Anomaly Detection -- High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection -- Relation-Guided Actor Attention for Group Activity Recognition -- MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification -- Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection -- Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network -- SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization -- Conditioners for Adaptive Regression Tracking -- Attention Template Update Model for Siamese Tracker -- Insight on Attention Modules for Skeleton-Based Action Recognition -- AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context -- Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video -- Scale-aware Multi-branch Decoder for Salient Object Detection -- Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5 -- POT: A Dataset of Panoramic Object Tracking -- DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network -- Scene Semantic Guidance for Object Detection -- Training Person Re-Identification Networks with Transferred Images -- ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection -- Research of robust video object tracking algorithm based on Jetson Nano embedded platform -- Classification-IoU Joint Label Assignment For End-to-End Object Detection -- Joint Learning Appearance and Motion Models for Visual Tracking -- ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow -- Local Mutual Metric Network for Few-Shot Image Classification -- SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation -- Control Variates for Similarity Search -- Pyramid Self-Attention for Semantic Segmentation.-Re-identify Deformable Targets for Visual Tracking -- End-to-End Detection and Recognition of Arithmetic Expressions -- FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization -- Appearance-Motion Fusion Network for Video Anomaly Detection -- Can DNN Detectors Compete against Human Vision in Object Detection Task? -- Group Re-Identification Based on single feature attention learning network(SFALN) -- Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking -- Group-Aware Disentangle Learning for Head Pose Estimation -- Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry -- Multi-Criteria Confidence Evaluation for Robust Visual Tracking. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 677 p. 262 ilustraciones, 245 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88007-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Aprendizaje automático Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Application software Visión por computador IngenierÃa Informática Red informática Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Computer Vision, Theories and Applications -- Dynamic Fusion Network For Light Field Depth Estimation -- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data -- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization -- Video-Based Reconstruction of Smooth 3D Human Body Motion -- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition -- 3D Correspondence Grouping with Compatibility Features -- Contour-Aware Panoptic Segmentation Network -- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder -- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network -- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection -- FMixAugment for Semi-Supervised Learning with Consistency Regularization -- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery -- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images -- AnchorConv: Anchor Convolution for Point Clouds Analysis -- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition -- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement -- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments -- Dual-Layer Barcodes -- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization -- Unsupervised learning framework for 3D reconstruction from face sketch -- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction -- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction -- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds -- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method -- Enhancing Latent Features for Unsupervised Video Anomaly Detection -- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning -- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism -- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models -- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection -- Scene-Aware Ensemble Learning For Robust Crowd Counting -- Complementary Temporal Classification Activation Maps in Temporal Action Localization -- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space -- A Simple Network with Progressive Structure for Salient Object Detection -- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection -- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network -- A non-autoregressivedecoding model based on joint classification for 3D human pose regression -- Multimedia Processing and Analysis -- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification -- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification -- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map -- Attribute-level Interest Matching Network for Personalized Recommendation -- Variational Deep Representation Learning for Cross-Modal Retrieval -- Vein Centerline Extraction of Visible images Based on Tracking Method -- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval -- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation -- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis -- HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design -- A Fast Method for Extracting parameters of Circular Objects -- GGRNet: Global Graph Reasoning Network for Salient Object Detection in Optical Remote Sensing Images -- A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory -- Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention -- An End-to-End Mutual Enhancement Network toward Image Compression and Semantic Segmentation -- Deep Double Center Hashing for Face Image Retrieval -- A Novel Method of Cropped Images Forensics in Social Networks -- MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 677 p. 262 ilustraciones, 245 ilustraciones en color.
ISBN : 978-3-030-88007-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Aprendizaje automático Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Application software Visión por computador IngenierÃa Informática Red informática Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Computer Vision, Theories and Applications -- Dynamic Fusion Network For Light Field Depth Estimation -- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data -- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization -- Video-Based Reconstruction of Smooth 3D Human Body Motion -- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition -- 3D Correspondence Grouping with Compatibility Features -- Contour-Aware Panoptic Segmentation Network -- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder -- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network -- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection -- FMixAugment for Semi-Supervised Learning with Consistency Regularization -- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery -- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images -- AnchorConv: Anchor Convolution for Point Clouds Analysis -- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition -- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement -- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments -- Dual-Layer Barcodes -- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization -- Unsupervised learning framework for 3D reconstruction from face sketch -- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction -- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction -- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds -- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method -- Enhancing Latent Features for Unsupervised Video Anomaly Detection -- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning -- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism -- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models -- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection -- Scene-Aware Ensemble Learning For Robust Crowd Counting -- Complementary Temporal Classification Activation Maps in Temporal Action Localization -- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space -- A Simple Network with Progressive Structure for Salient Object Detection -- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection -- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network -- A non-autoregressivedecoding model based on joint classification for 3D human pose regression -- Multimedia Processing and Analysis -- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification -- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification -- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map -- Attribute-level Interest Matching Network for Personalized Recommendation -- Variational Deep Representation Learning for Cross-Modal Retrieval -- Vein Centerline Extraction of Visible images Based on Tracking Method -- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval -- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation -- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis -- HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design -- A Fast Method for Extracting parameters of Circular Objects -- GGRNet: Global Graph Reasoning Network for Salient Object Detection in Optical Remote Sensing Images -- A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory -- Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention -- An End-to-End Mutual Enhancement Network toward Image Compression and Semantic Segmentation -- Deep Double Center Hashing for Face Image Retrieval -- A Novel Method of Cropped Images Forensics in Social Networks -- MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III Tipo de documento: documento electrónico Autores: Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIX, 633 p. 25 ilustraciones ISBN/ISSN/DL: 978-3-030-88010-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Low-level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- Single Image Specular Highlight Removal on Natural Scenes -- Document image binarization using visibility detection and point cloud segmentation -- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- Scale-aware Distillation Network for Lightweight Image Super-Resolution -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- Relational Attention with Textual Enhanced Transformer For Image Captioning -- Non-local Network Routing for Perceptual Image Super-Resolution -- Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition -- An Enhanced Multi-Frequency Learned Image Compression Method -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- Illumination-Aware Image Quality Assessment for Enhanced Low-light Image -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- Image Outpainting with Depth Assistance -- Light-weight Multi-channel Aggregation Network for Image Super-resolution -- Slow Video Detection Based on Spatial-temporal Feature Representation -- Biomedical Image Processing and Analysis -- The NL-SC Net for Skin Lesion Segmentation -- Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement -- Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images -- A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks -- Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module -- Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data -- Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature -- Interactive Attention Sampling Network for Clinical Skin Disease Image Classification -- Cross-Model Attention Method for Medical Image Enhancement -- Multi-modal Face Anti-Spoofing based on a Single Image -- Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing -- Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion -- HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration -- Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis -- Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction -- Model-based gait recognition using graph network with pose sequences -- Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic -- Deep-based Super-angular Resolution for Diffusion Imaging -- A Multiple Scale Encoders Network for Stroke Lesion Segmentation -- Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection -- Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation -- DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence -- Face Anti-Spoofing Based on Cooperative Pose Analysis -- A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment -- Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID -- Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling -- Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 633 p. 25 ilustraciones.
ISBN : 978-3-030-88010-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial Visión por computador Red informática IngenierÃa Informática Application software Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Low-level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- Single Image Specular Highlight Removal on Natural Scenes -- Document image binarization using visibility detection and point cloud segmentation -- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- Scale-aware Distillation Network for Lightweight Image Super-Resolution -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- Relational Attention with Textual Enhanced Transformer For Image Captioning -- Non-local Network Routing for Perceptual Image Super-Resolution -- Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition -- An Enhanced Multi-Frequency Learned Image Compression Method -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- Illumination-Aware Image Quality Assessment for Enhanced Low-light Image -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- Image Outpainting with Depth Assistance -- Light-weight Multi-channel Aggregation Network for Image Super-resolution -- Slow Video Detection Based on Spatial-temporal Feature Representation -- Biomedical Image Processing and Analysis -- The NL-SC Net for Skin Lesion Segmentation -- Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement -- Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images -- A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks -- Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module -- Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data -- Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature -- Interactive Attention Sampling Network for Clinical Skin Disease Image Classification -- Cross-Model Attention Method for Medical Image Enhancement -- Multi-modal Face Anti-Spoofing based on a Single Image -- Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing -- Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion -- HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration -- Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis -- Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction -- Model-based gait recognition using graph network with pose sequences -- Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic -- Deep-based Super-angular Resolution for Diffusion Imaging -- A Multiple Scale Encoders Network for Stroke Lesion Segmentation -- Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection -- Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation -- DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence -- Face Anti-Spoofing Based on Cooperative Pose Analysis -- A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment -- Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID -- Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling -- Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV Tipo de documento: documento electrónico Autores: Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIX, 577 p. 219 ilustraciones, 202 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88013-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 577 p. 219 ilustraciones, 202 ilustraciones en color.
ISBN : 978-3-030-88013-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática Clasificación: Resumen: El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. Nota de contenido: Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Context-Aware Collaborative Prediction Tipo de documento: documento electrónico Autores: Wu, Shu, ; Liu, Qiang, ; Wang, Liang, ; Tan, Tieniu, Mención de edición: 1 ed. Editorial: Singapore [Malasya] : Springer Fecha de publicación: 2017 Número de páginas: XI, 69 p. 9 ilustraciones, 8 ilustraciones en color. ISBN/ISSN/DL: 978-981-10-5373-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Sistemas de almacenamiento y recuperación de información Software de la aplicacion Procesamiento de datos Inteligencia artificial Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Clasificación: Resumen: Este libro presenta dos enfoques de predicción colaborativa basados ​​en la representación contextual y la representación jerárquica, y sus aplicaciones, incluida la recomendación consciente del contexto, la recuperación colaborativa latente y la predicción de la tasa de clics. Las técnicas propuestas ofrecen mejoras significativas con respecto a los métodos actuales, siendo los determinantes clave la representación contextual incorporada y la representación jerárquica. Para proporcionar un trasfondo de las ideas centrales presentadas, ofrece una descripción general del modelado contextual y la teorÃa de la representación contextual y la representación jerárquica, que se construyen para la interacción conjunta de entidades e información contextual. El libro ofrece una rica combinación de teorÃa y práctica, lo que lo convierte en un recurso valioso para estudiantes, investigadores y profesionales que necesitan construir sistemas de recuperación de información, extracción de datos y sistemas de recomendación con información contextual. Nota de contenido: 1. Introduction -- 2. Context-Aware Collaborative Prediction -- 3. Context Operation -- 4. Hierarchical Representation -- 5. Context-Aware Recurrent Structure -- 6. Performance of Different Collaborative Prediction Tasks. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Context-Aware Collaborative Prediction [documento electrónico] / Wu, Shu, ; Liu, Qiang, ; Wang, Liang, ; Tan, Tieniu, . - 1 ed. . - Singapore [Malasya] : Springer, 2017 . - XI, 69 p. 9 ilustraciones, 8 ilustraciones en color.
ISBN : 978-981-10-5373-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Sistemas de almacenamiento y recuperación de información Software de la aplicacion Procesamiento de datos Inteligencia artificial Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Clasificación: Resumen: Este libro presenta dos enfoques de predicción colaborativa basados ​​en la representación contextual y la representación jerárquica, y sus aplicaciones, incluida la recomendación consciente del contexto, la recuperación colaborativa latente y la predicción de la tasa de clics. Las técnicas propuestas ofrecen mejoras significativas con respecto a los métodos actuales, siendo los determinantes clave la representación contextual incorporada y la representación jerárquica. Para proporcionar un trasfondo de las ideas centrales presentadas, ofrece una descripción general del modelado contextual y la teorÃa de la representación contextual y la representación jerárquica, que se construyen para la interacción conjunta de entidades e información contextual. El libro ofrece una rica combinación de teorÃa y práctica, lo que lo convierte en un recurso valioso para estudiantes, investigadores y profesionales que necesitan construir sistemas de recuperación de información, extracción de datos y sistemas de recomendación con información contextual. Nota de contenido: 1. Introduction -- 2. Context-Aware Collaborative Prediction -- 3. Context Operation -- 4. Hierarchical Representation -- 5. Context-Aware Recurrent Structure -- 6. Performance of Different Collaborative Prediction Tasks. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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