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Documentos en la biblioteca con la clasificación 006.4 (88)
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TÃtulo : Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Cong, Fengyu, ; Leung, Andrew, ; Wei, Qinglai, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXII, 583 p. 238 ilustraciones ISBN/ISSN/DL: 978-3-319-59072-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Informática Redes neuronales (Informática) Algoritmos Protección de datos Reconocimiento de patrones automatizado Matemáticas de la Computación Modelos matemáticos de procesos cognitivos y redes neuronales Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14.º Simposio Internacional sobre Redes Neuronales, ISNN 2017, celebrado en Sapporo, Hakodate y Muroran, Hokkaido, Japón, en junio de 2017. Los 135 artÃculos completos revisados ​​presentados en este conjunto de dos volúmenes fueron cuidadosamente revisados. y seleccionado entre 259 presentaciones. Los artÃculos cubren temas como percepción, emoción y desarrollo, acción y control motor, memoria atractora y asociativa, neurodinámica, sistemas complejos y caos. Nota de contenido: Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / [documento electrónico] / Cong, Fengyu, ; Leung, Andrew, ; Wei, Qinglai, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXII, 583 p. 238 ilustraciones.
ISBN : 978-3-319-59072-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Informática Redes neuronales (Informática) Algoritmos Protección de datos Reconocimiento de patrones automatizado Matemáticas de la Computación Modelos matemáticos de procesos cognitivos y redes neuronales Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14.º Simposio Internacional sobre Redes Neuronales, ISNN 2017, celebrado en Sapporo, Hakodate y Muroran, Hokkaido, Japón, en junio de 2017. Los 135 artÃculos completos revisados ​​presentados en este conjunto de dos volúmenes fueron cuidadosamente revisados. y seleccionado entre 259 presentaciones. Los artÃculos cubren temas como percepción, emoción y desarrollo, acción y control motor, memoria atractora y asociativa, neurodinámica, sistemas complejos y caos. Nota de contenido: Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Cong, Fengyu, ; Leung, Andrew, ; Wei, Qinglai, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXII, 595 p. 251 ilustraciones ISBN/ISSN/DL: 978-3-319-59081-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Informática Redes neuronales (Informática) Algoritmos Protección de datos Reconocimiento de patrones automatizado Matemáticas de la Computación Modelos matemáticos de procesos cognitivos y redes neuronales Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14.º Simposio Internacional sobre Redes Neuronales, ISNN 2017, celebrado en Sapporo, Hakodate y Muroran, Hokkaido, Japón, en junio de 2017. Los 135 artÃculos completos revisados ​​presentados en este conjunto de dos volúmenes fueron cuidadosamente revisados. y seleccionado entre 259 presentaciones. Los artÃculos cubren temas como percepción, emoción y desarrollo, acción y control motor, memoria atractora y asociativa, neurodinámica, sistemas complejos y caos. Nota de contenido: Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II / [documento electrónico] / Cong, Fengyu, ; Leung, Andrew, ; Wei, Qinglai, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXII, 595 p. 251 ilustraciones.
ISBN : 978-3-319-59081-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Informática Redes neuronales (Informática) Algoritmos Protección de datos Reconocimiento de patrones automatizado Matemáticas de la Computación Modelos matemáticos de procesos cognitivos y redes neuronales Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14.º Simposio Internacional sobre Redes Neuronales, ISNN 2017, celebrado en Sapporo, Hakodate y Muroran, Hokkaido, Japón, en junio de 2017. Los 135 artÃculos completos revisados ​​presentados en este conjunto de dos volúmenes fueron cuidadosamente revisados. y seleccionado entre 259 presentaciones. Los artÃculos cubren temas como percepción, emoción y desarrollo, acción y control motor, memoria atractora y asociativa, neurodinámica, sistemas complejos y caos. Nota de contenido: Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Neural Networks – ISNN 2018 / Huang, Tingwen ; Lv, Jiancheng ; Sun, Changyin ; Tuzikov, Alexander V.
TÃtulo : Advances in Neural Networks – ISNN 2018 : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / Tipo de documento: documento electrónico Autores: Huang, Tingwen, ; Lv, Jiancheng, ; Sun, Changyin, ; Tuzikov, Alexander V., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIX, 872 p. 350 ilustraciones ISBN/ISSN/DL: 978-3-319-92537-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Visión por computador Algoritmos Computadoras Propósitos especiales Protección de datos Reconocimiento de patrones automatizado Sistemas de propósito especial y basados ​​en aplicaciones Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 15º Simposio Internacional sobre Redes Neuronales, ISNN 2018, celebrado en Minsk, Bielorrusia, en junio de 2018. Los 98 artÃculos regulares revisados ​​presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 214 presentaciones. Los artÃculos cubren muchos temas de investigación relacionados con redes neuronales, incluido el control inteligente, el análisis neurodinámico, las bioseñales, la bioinformática y la ingenierÃa biomédica, la agrupación, la clasificación, la previsión, los modelos, los algoritmos, la computación cognitiva, el aprendizaje automático y la optimización. Nota de contenido: Cognition computation -- Models, methods and algorithms -- Clustering, classifiation, learning, and forecasting -- Neurodynamics, complex systems, and chaos -- Multi-agent systems and game theory -- Signal, image and video processing -- Intelligent control, robotics and hardware -- Bio-signal, bioinformatics and biomedical engineering. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018. The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Neural Networks – ISNN 2018 : 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings / [documento electrónico] / Huang, Tingwen, ; Lv, Jiancheng, ; Sun, Changyin, ; Tuzikov, Alexander V., . - 1 ed. . - [s.l.] : Springer, 2018 . - XIX, 872 p. 350 ilustraciones.
ISBN : 978-3-319-92537-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Inteligencia artificial Visión por computador Algoritmos Computadoras Propósitos especiales Protección de datos Reconocimiento de patrones automatizado Sistemas de propósito especial y basados ​​en aplicaciones Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 15º Simposio Internacional sobre Redes Neuronales, ISNN 2018, celebrado en Minsk, Bielorrusia, en junio de 2018. Los 98 artÃculos regulares revisados ​​presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 214 presentaciones. Los artÃculos cubren muchos temas de investigación relacionados con redes neuronales, incluido el control inteligente, el análisis neurodinámico, las bioseñales, la bioinformática y la ingenierÃa biomédica, la agrupación, la clasificación, la previsión, los modelos, los algoritmos, la computación cognitiva, el aprendizaje automático y la optimización. Nota de contenido: Cognition computation -- Models, methods and algorithms -- Clustering, classifiation, learning, and forecasting -- Neurodynamics, complex systems, and chaos -- Multi-agent systems and game theory -- Signal, image and video processing -- Intelligent control, robotics and hardware -- Bio-signal, bioinformatics and biomedical engineering. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018. The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Visual Computing / Bebis, George ; Boyle, Richard ; Parvin, Bahram ; Koracin, Darko ; Turek, Matt ; Ramalingam, Srikumar ; Xu, Kai ; Lin, Stephen ; Alsallakh, Bilal ; Yang, Jing ; Cuervo, Eduardo ; Ventura, Jonathan
TÃtulo : Advances in Visual Computing : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / Tipo de documento: documento electrónico Autores: Bebis, George, ; Boyle, Richard, ; Parvin, Bahram, ; Koracin, Darko, ; Turek, Matt, ; Ramalingam, Srikumar, ; Xu, Kai, ; Lin, Stephen, ; Alsallakh, Bilal, ; Yang, Jing, ; Cuervo, Eduardo, ; Ventura, Jonathan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXI, 771 p. 535 ilustraciones, 322 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-03801-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Protección de datos Reconocimiento de patrones automatizado IngenierÃa Informática y Redes Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 13.º Simposio Internacional sobre Computación Visual, ISVC 2018, celebrado en Las Vegas, NV, EE. UU. en noviembre de 2018. El total de 66 artÃculos presentados en este volumen fue cuidadosamente revisado y seleccionado entre 91 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: ST: bioimagen computacional; gráficos de computadora; vigilancia visual; reconocimiento de patrones; realidad virtual; aprendizaje profundo; movimiento y seguimiento; visualización; detección y reconocimiento de objetos; aplicaciones; segmentación; y ST: sistemas de transporte inteligentes. . Nota de contenido: ST: Computational Bioimaging -- Automatic Registration of Serial Cerebral Angiography: A Comparative Review -- Skull Stripping using Confidence Segmentation Convolution Neural Network -- Skin Cancer Segmentation Using a Unified Markov Random Field -- Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition -- Computer Graphics I -- PSO-based Newton-like Method and Iteration Processes in the Generation of Artistic Patterns -- An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena -- Biomimetic Perception Learning for Human Sensorimotor Control -- Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions -- Visual Surveillance -- Accurate and Efficient Non-Parametric Background Detection for Video Surveillance -- A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition -- Video-based human action recognition using kernel relevance analysis -- Robust Incremental Hidden Conditional Random Fields for Human Action Recognition -- Pattern Recognition -- Rotation Symmetry Object Classification using Structure Constrained Convolutional Neural Network -- A Hough Space Feature for Vehicle Detection -- Gender Classification Based on Facial Shape and Texture Features -- Authentication-based on Biomechanics of Finger Movements captured using Optical Motion-Capture -- Specific Document Sign Location Detection Based on Point Matching and Clustering -- Virtual Reality I -- Training in Virtual Environments for Hybrid Power Plants -- Visualizing Viewpoint Movement on Driving by Space Information Rendering -- Virtual Reality System for Children Lower Limb Strengthening with the use of Electromyographic Sensors -- A Comparative Study of Virtual UI for Risk Assessment and Evaluation -- Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments -- Deep Learning I -- Accuracy of a Driver-Assistance System in a Collision Scenario -- Classify broilerviscera using an iterative approach on noisy labeled training data -- Instance-level Object Recognition using Deep Temporal Coherence -- DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification -- Motion and Tracking -- Particle Filter Based Tracking and Mapping -- Multi-Branch Siamese Networks with Online Selection for Object Tracking -- Deep Convolutional Correlation Filters for Visual Tracking by Detection -- The bird gets caught by the WORM: tracking multiple deformable objects in noisy environments using Weight ORdered Logic Maps -- A Mumford Shah Style Unified Framework for Layering: Pitfalls and Solutions -- Visualization -- Visualization of Parameter Sensitivity of 2D Time-Dependent Flow -- Non-stationary generalized Wishart process for enhancing resolution over diffusion tensor fields -- Reduced-reference image quality assessment based on improved local binary pattern -- Web system for visualization of weather data of the hydrometeorological network ofTungurahua, Ecuador -- Analysis and Visualization of Sports Performance Anxiety in Tennis Matches -- Object Detection and Recognition -- Detailed sentence generation architecture for image semantics description -- Pupil Localization Using Geodesic Distance -- Parallel Curves Detection Using Multi-Agent System -- Can Deep Learning Learn the Principle of Closed Contour Detection -- Deep Learning II -- DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking -- Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking -- Scale-aware RPN for Vehicle Detection -- Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure -- Large Scale Application Response Time Measurement using Image Recognition and Deep Learning -- Applications I -- Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments -- Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition -- Patient's Body Motion Study using Multimodal RGBDT Videos -- Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments -- Shape-based Smoothing of Binary Digital Objects Using Signed Distance Transform -- Segmentation -- Patch-based potentials for interactive contour extraction -- A New Algorithm for Local Blur-Scale Computation and Edge Detection -- Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels -- Applications II -- Fast Image Dehazing Methods for Real-Time Video Processing -- GPU Accelerated Non-Parametric Background Subtraction -- Budget-constrained Online Video Summarisation of Egocentric Video Using Control Charts -- p-Laplacian regularization of signals on directed graphs -- A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval -- Virtual Reality II -- Augmented Reality System for Training and Assistance in the Management of Equipment and Industrial Instruments -- Alternative Treatment for Spider Phobia through Virtual Reality Environments -- The skyline as a marker for augmented reality in urban context -- Oil Processes VR Training -- ST: Intelligent Transportation Systems -- Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector -- Autonomous Bus Boarding Robotic Wheelchair using Bidirectional Sensing Systems -- Road User Abnormal Trajectory Detection using a Deep Autoencoder -- Traffic Flow Classiffication Using Traffic Cameras. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Symposium on Visual Computing, ISVC 2018, held in Las Vegas, NV, USA in November 2018. The total of 66 papers presented in this volume was carefully reviewed and selected from 91 submissions. The papers are organized in topical sections named: ST: computational bioimaging; computer graphics; visual surveillance; pattern recognition; vitrual reality; deep learning; motion and tracking; visualization; object detection and recognition; applications; segmentation; and ST: intelligent transportation systems. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Visual Computing : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / [documento electrónico] / Bebis, George, ; Boyle, Richard, ; Parvin, Bahram, ; Koracin, Darko, ; Turek, Matt, ; Ramalingam, Srikumar, ; Xu, Kai, ; Lin, Stephen, ; Alsallakh, Bilal, ; Yang, Jing, ; Cuervo, Eduardo, ; Ventura, Jonathan, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXI, 771 p. 535 ilustraciones, 322 ilustraciones en color.
ISBN : 978-3-030-03801-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Protección de datos Reconocimiento de patrones automatizado IngenierÃa Informática y Redes Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 13.º Simposio Internacional sobre Computación Visual, ISVC 2018, celebrado en Las Vegas, NV, EE. UU. en noviembre de 2018. El total de 66 artÃculos presentados en este volumen fue cuidadosamente revisado y seleccionado entre 91 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: ST: bioimagen computacional; gráficos de computadora; vigilancia visual; reconocimiento de patrones; realidad virtual; aprendizaje profundo; movimiento y seguimiento; visualización; detección y reconocimiento de objetos; aplicaciones; segmentación; y ST: sistemas de transporte inteligentes. . Nota de contenido: ST: Computational Bioimaging -- Automatic Registration of Serial Cerebral Angiography: A Comparative Review -- Skull Stripping using Confidence Segmentation Convolution Neural Network -- Skin Cancer Segmentation Using a Unified Markov Random Field -- Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition -- Computer Graphics I -- PSO-based Newton-like Method and Iteration Processes in the Generation of Artistic Patterns -- An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena -- Biomimetic Perception Learning for Human Sensorimotor Control -- Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions -- Visual Surveillance -- Accurate and Efficient Non-Parametric Background Detection for Video Surveillance -- A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition -- Video-based human action recognition using kernel relevance analysis -- Robust Incremental Hidden Conditional Random Fields for Human Action Recognition -- Pattern Recognition -- Rotation Symmetry Object Classification using Structure Constrained Convolutional Neural Network -- A Hough Space Feature for Vehicle Detection -- Gender Classification Based on Facial Shape and Texture Features -- Authentication-based on Biomechanics of Finger Movements captured using Optical Motion-Capture -- Specific Document Sign Location Detection Based on Point Matching and Clustering -- Virtual Reality I -- Training in Virtual Environments for Hybrid Power Plants -- Visualizing Viewpoint Movement on Driving by Space Information Rendering -- Virtual Reality System for Children Lower Limb Strengthening with the use of Electromyographic Sensors -- A Comparative Study of Virtual UI for Risk Assessment and Evaluation -- Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments -- Deep Learning I -- Accuracy of a Driver-Assistance System in a Collision Scenario -- Classify broilerviscera using an iterative approach on noisy labeled training data -- Instance-level Object Recognition using Deep Temporal Coherence -- DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification -- Motion and Tracking -- Particle Filter Based Tracking and Mapping -- Multi-Branch Siamese Networks with Online Selection for Object Tracking -- Deep Convolutional Correlation Filters for Visual Tracking by Detection -- The bird gets caught by the WORM: tracking multiple deformable objects in noisy environments using Weight ORdered Logic Maps -- A Mumford Shah Style Unified Framework for Layering: Pitfalls and Solutions -- Visualization -- Visualization of Parameter Sensitivity of 2D Time-Dependent Flow -- Non-stationary generalized Wishart process for enhancing resolution over diffusion tensor fields -- Reduced-reference image quality assessment based on improved local binary pattern -- Web system for visualization of weather data of the hydrometeorological network ofTungurahua, Ecuador -- Analysis and Visualization of Sports Performance Anxiety in Tennis Matches -- Object Detection and Recognition -- Detailed sentence generation architecture for image semantics description -- Pupil Localization Using Geodesic Distance -- Parallel Curves Detection Using Multi-Agent System -- Can Deep Learning Learn the Principle of Closed Contour Detection -- Deep Learning II -- DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking -- Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking -- Scale-aware RPN for Vehicle Detection -- Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure -- Large Scale Application Response Time Measurement using Image Recognition and Deep Learning -- Applications I -- Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments -- Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition -- Patient's Body Motion Study using Multimodal RGBDT Videos -- Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments -- Shape-based Smoothing of Binary Digital Objects Using Signed Distance Transform -- Segmentation -- Patch-based potentials for interactive contour extraction -- A New Algorithm for Local Blur-Scale Computation and Edge Detection -- Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels -- Applications II -- Fast Image Dehazing Methods for Real-Time Video Processing -- GPU Accelerated Non-Parametric Background Subtraction -- Budget-constrained Online Video Summarisation of Egocentric Video Using Control Charts -- p-Laplacian regularization of signals on directed graphs -- A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval -- Virtual Reality II -- Augmented Reality System for Training and Assistance in the Management of Equipment and Industrial Instruments -- Alternative Treatment for Spider Phobia through Virtual Reality Environments -- The skyline as a marker for augmented reality in urban context -- Oil Processes VR Training -- ST: Intelligent Transportation Systems -- Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector -- Autonomous Bus Boarding Robotic Wheelchair using Bidirectional Sensing Systems -- Road User Abnormal Trajectory Detection using a Deep Autoencoder -- Traffic Flow Classiffication Using Traffic Cameras. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Symposium on Visual Computing, ISVC 2018, held in Las Vegas, NV, USA in November 2018. The total of 66 papers presented in this volume was carefully reviewed and selected from 91 submissions. The papers are organized in topical sections named: ST: computational bioimaging; computer graphics; visual surveillance; pattern recognition; vitrual reality; deep learning; motion and tracking; visualization; object detection and recognition; applications; segmentation; and ST: intelligent transportation systems. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Visual Computing / Bebis, George ; Boyle, Richard ; Parvin, Bahram ; Koracin, Darko ; Ushizima, Daniela ; Chai, Sek ; Sueda, Shinjiro ; Lin, Xin ; Lu, Aidong ; Thalmann, Daniel ; Wang, Chaoli ; Xu, Panpan
TÃtulo : Advances in Visual Computing : 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Bebis, George, ; Boyle, Richard, ; Parvin, Bahram, ; Koracin, Darko, ; Ushizima, Daniela, ; Chai, Sek, ; Sueda, Shinjiro, ; Lin, Xin, ; Lu, Aidong, ; Thalmann, Daniel, ; Wang, Chaoli, ; Xu, Panpan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXXV, 698 p. 398 ilustraciones, 297 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-33720-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Procesamiento de imágenes Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Protección de datos Reconocimiento de patrones automatizado Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14º Simposio Internacional sobre Computación Visual, ISVC 2019, celebrado en Lake Tahoe, NV, EE. UU. en octubre de 2019. Los 100 artÃculos presentados en este volumen doble fueron cuidadosamente revisados ​​y seleccionados entre 163 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Aprendizaje profundo I; Gráficos por Computadora I; Segmentación/Reconocimiento; Análisis de vÃdeo y reconocimiento de eventos; Visualización; ST: Visión Computacional, IA y métodos Matemáticos para el Análisis de Imágenes Biomédicas y Biológicas; BiometrÃa; Realidad Virtual I; Aplicaciones I; ST: Visión para la teledetección y la inspección de infraestructuras; Gráficos por computadora II; Aplicaciones II; Aprendizaje Profundo II; Realidad Virtual II; Reconocimiento/Detección/Categorización de Objetos; y Cartel. Nota de contenido: Deep Learning I -- Application of Image Classiï¬cation for Fine-Grained Nudity Detection -- DeepGRU: Deep Gesture Recognition Utility -- Delineation of Road Networks Using Deep Residual Neural Networks and Iterative Hough Transform -- DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking -- Reconstruction Error Aware Pruning for Accelerating Neural Networks -- Computer Graphics I -- Bioinspired Simulation of Knotting Hagï¬sh -- Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domains -- Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs -- Real-Time Ray Tracing with SphericallyProjected Object Data -- Underwater Photogrammetry Reconstruction: GPU Texture Generation from Videos Captured via AUV -- Segmentation/Recognition -- Adaptive Attention Model for Lidar Instance Segmentation -- View Dependent Surface Material Recognition -- 3D Visual Object Detection from Monocular Images -- Skin Identiï¬cation Using Deep Convolutional Neural Network -- Resolution-independent meshes of superpixels -- Video Analysis and Event Recognition -- Automatic Video Colorization using 3D Conditional Generative Adversarial Networks -- Improving Visual Reasoning With Attention Alignment -- Multi-Camera Temporal Grouping for Play/Break Event Detection in Soccer Games -- Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM -- Augmented Curiosity: Depth and Optical Flow Prediction for Efficient Exploration -- Visualization -- Information Visualization for Highlighting Conflicts in Educational Timetabling Problems -- ContourNet: Salient Local Contour Identiï¬cation for Blob Detection in Plasma Fusion Simulation Data -- Mutual Information-Based Texture Spectral Similarity Criterion -- Accurate Computation of Interval Volume Measures for Improving Histograms -- Ant-SNE: Tracking Community Evolution via Animated t-SNE -- ST: Computational Vision, AI and Mathematical Methods for Biomedical and Biological Image Analysis -- Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images -- Angio-AI: Cerebral Perfusion Angiography with Machine Learning -- Conformal Welding for Brain-Intelligence Analysis -- Learning Graph Cut Class Prototypes for Thigh CT Tissue Identiï¬cation -- Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography -- Biometrics -- One-Shot-Learning for Visual Lip-Based Biometric Authentication -- Age Group and Gender Classiï¬cation of Unconstrained Faces -- Efficient 3D Face Recognition in Uncontrolled Environment -- Pupil Center Localization Using SOMA and CNN -- Real-Time Face Features Localization with Recurrent Reï¬ned Dense CNN Architectures -- Virtual Reality I -- Estimation of the distance between ï¬ngertips using silhouette and texture information of dorsal of hand -- Measuring Reflectance of Anisotropic Materials using Two Handheld Cameras -- FunPlogs - A Serious Puzzle Mini-Game for Learning FundamentalProgramming Principles Using Visual Scripting -- Automatic camera path generation from 360 video -- Highlighting Techniques for 360 Degree Virtual Reality and Their Immersive Authoring -- Applications I -- Jitter-free registration for Unmanned Aerial Vehicle Videos -- Heart Rate Based Face Synthesis for Pulse Estimation -- Light-weight Novel View Synthesis for Casual Multiview Photography -- DeepPrivacy: A generative adversarial network for face anonymization -- Swarm Optimization Algorithm for Road Bypass Extrapolation -- ST: Vision for Remote Sensing and Infrastructure Inspection -- Concrete Crack Pixel Classiï¬cation using an Encoder Decoder Based Deep Learning Architecture -- A Geometry-based Method for the Spatio-temporal Detection of Cracks in 4D-Reconstructions -- An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications -- Rebar Detection and Localization for Non-Destructive Infrastructure Evaluation using Deep Residual Networks -- Computer Graphics II -- Intrinsic Decomposition by learning from Varying Lighting Conditions -- Pixel2Field: Single Image Transformation to Physical Field of Sports Videos -- UnrealGT: Using Unreal Engine to Generate Ground Truth Datasets -- Fast Omnidirectional Depth Densiï¬cation. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Visual Computing : 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I / [documento electrónico] / Bebis, George, ; Boyle, Richard, ; Parvin, Bahram, ; Koracin, Darko, ; Ushizima, Daniela, ; Chai, Sek, ; Sueda, Shinjiro, ; Lin, Xin, ; Lu, Aidong, ; Thalmann, Daniel, ; Wang, Chaoli, ; Xu, Panpan, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXXV, 698 p. 398 ilustraciones, 297 ilustraciones en color.
ISBN : 978-3-030-33720-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Procesamiento de imágenes Visión por computador Inteligencia artificial IngenierÃa Informática Red de computadoras Protección de datos Reconocimiento de patrones automatizado Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Seguridad de datos e información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas del 14º Simposio Internacional sobre Computación Visual, ISVC 2019, celebrado en Lake Tahoe, NV, EE. UU. en octubre de 2019. Los 100 artÃculos presentados en este volumen doble fueron cuidadosamente revisados ​​y seleccionados entre 163 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Aprendizaje profundo I; Gráficos por Computadora I; Segmentación/Reconocimiento; Análisis de vÃdeo y reconocimiento de eventos; Visualización; ST: Visión Computacional, IA y métodos Matemáticos para el Análisis de Imágenes Biomédicas y Biológicas; BiometrÃa; Realidad Virtual I; Aplicaciones I; ST: Visión para la teledetección y la inspección de infraestructuras; Gráficos por computadora II; Aplicaciones II; Aprendizaje Profundo II; Realidad Virtual II; Reconocimiento/Detección/Categorización de Objetos; y Cartel. Nota de contenido: Deep Learning I -- Application of Image Classiï¬cation for Fine-Grained Nudity Detection -- DeepGRU: Deep Gesture Recognition Utility -- Delineation of Road Networks Using Deep Residual Neural Networks and Iterative Hough Transform -- DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking -- Reconstruction Error Aware Pruning for Accelerating Neural Networks -- Computer Graphics I -- Bioinspired Simulation of Knotting Hagï¬sh -- Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domains -- Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs -- Real-Time Ray Tracing with SphericallyProjected Object Data -- Underwater Photogrammetry Reconstruction: GPU Texture Generation from Videos Captured via AUV -- Segmentation/Recognition -- Adaptive Attention Model for Lidar Instance Segmentation -- View Dependent Surface Material Recognition -- 3D Visual Object Detection from Monocular Images -- Skin Identiï¬cation Using Deep Convolutional Neural Network -- Resolution-independent meshes of superpixels -- Video Analysis and Event Recognition -- Automatic Video Colorization using 3D Conditional Generative Adversarial Networks -- Improving Visual Reasoning With Attention Alignment -- Multi-Camera Temporal Grouping for Play/Break Event Detection in Soccer Games -- Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM -- Augmented Curiosity: Depth and Optical Flow Prediction for Efficient Exploration -- Visualization -- Information Visualization for Highlighting Conflicts in Educational Timetabling Problems -- ContourNet: Salient Local Contour Identiï¬cation for Blob Detection in Plasma Fusion Simulation Data -- Mutual Information-Based Texture Spectral Similarity Criterion -- Accurate Computation of Interval Volume Measures for Improving Histograms -- Ant-SNE: Tracking Community Evolution via Animated t-SNE -- ST: Computational Vision, AI and Mathematical Methods for Biomedical and Biological Image Analysis -- Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images -- Angio-AI: Cerebral Perfusion Angiography with Machine Learning -- Conformal Welding for Brain-Intelligence Analysis -- Learning Graph Cut Class Prototypes for Thigh CT Tissue Identiï¬cation -- Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography -- Biometrics -- One-Shot-Learning for Visual Lip-Based Biometric Authentication -- Age Group and Gender Classiï¬cation of Unconstrained Faces -- Efficient 3D Face Recognition in Uncontrolled Environment -- Pupil Center Localization Using SOMA and CNN -- Real-Time Face Features Localization with Recurrent Reï¬ned Dense CNN Architectures -- Virtual Reality I -- Estimation of the distance between ï¬ngertips using silhouette and texture information of dorsal of hand -- Measuring Reflectance of Anisotropic Materials using Two Handheld Cameras -- FunPlogs - A Serious Puzzle Mini-Game for Learning FundamentalProgramming Principles Using Visual Scripting -- Automatic camera path generation from 360 video -- Highlighting Techniques for 360 Degree Virtual Reality and Their Immersive Authoring -- Applications I -- Jitter-free registration for Unmanned Aerial Vehicle Videos -- Heart Rate Based Face Synthesis for Pulse Estimation -- Light-weight Novel View Synthesis for Casual Multiview Photography -- DeepPrivacy: A generative adversarial network for face anonymization -- Swarm Optimization Algorithm for Road Bypass Extrapolation -- ST: Vision for Remote Sensing and Infrastructure Inspection -- Concrete Crack Pixel Classiï¬cation using an Encoder Decoder Based Deep Learning Architecture -- A Geometry-based Method for the Spatio-temporal Detection of Cracks in 4D-Reconstructions -- An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications -- Rebar Detection and Localization for Non-Destructive Infrastructure Evaluation using Deep Residual Networks -- Computer Graphics II -- Intrinsic Decomposition by learning from Varying Lighting Conditions -- Pixel2Field: Single Image Transformation to Physical Field of Sports Videos -- UnrealGT: Using Unreal Engine to Generate Ground Truth Datasets -- Fast Omnidirectional Depth Densiï¬cation. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Visual Computing / Bebis, George ; Boyle, Richard ; Parvin, Bahram ; Koracin, Darko ; Ushizima, Daniela ; Chai, Sek ; Sueda, Shinjiro ; Lin, Xin ; Lu, Aidong ; Thalmann, Daniel ; Wang, Chaoli ; Xu, Panpan
PermalinkAdvances in Visual Computing / Bebis, George ; Yin, Zhaozheng ; Kim, Edward ; Bender, Jan ; Subr, Kartic ; Kwon, Bum Chul ; Zhao, Jian ; Kalkofen, Denis ; Baciu, George
PermalinkAdvances in Visual Computing / Bebis, George ; Yin, Zhaozheng ; Kim, Edward ; Bender, Jan ; Subr, Kartic ; Kwon, Bum Chul ; Zhao, Jian ; Kalkofen, Denis ; Baciu, George
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PermalinkAdvances in Visual Computing / Bebis, George ; Athitsos, Vassilis ; Yan, Tong ; Lau, Manfred ; Li, Frederick ; Shi, Conglei ; Yuan, Xiaoru ; Mousas, Christos ; Bruder, Gerd
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