TÃtulo : |
13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23–26, 2021, Proceedings |
Tipo de documento: |
documento electrónico |
Autores: |
Roman-Rangel, Edgar, ; Kuri-Morales, Ãngel Fernando, ; MartÃnez-Trinidad, José Francisco, ; Carrasco-Ochoa, Jesús Ariel, ; Olvera-López, José Arturo, |
Mención de edición: |
1 ed. |
Editorial: |
[s.l.] : Springer |
Fecha de publicación: |
2021 |
Número de páginas: |
XIII, 380 p. 158 ilustraciones, 122 ilustraciones en color. |
ISBN/ISSN/DL: |
978-3-030-77004-4 |
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: |
Visión por computador Aplicación informática en ciencias sociales y del comportamiento. Inteligencia artificial Procesamiento de datos Sistemas de reconocimiento de patrones Ciencias sociales Reconocimiento de patrones automatizado |
Clasificación: |
006.4 |
Resumen: |
Este libro constituye las actas de la 13.ª Conferencia Mexicana sobre Reconocimiento de Patrones, MCPR 2021, cuya celebración estaba prevista en la Ciudad de México, México, en junio de 2021. En cambio, la conferencia se llevó a cabo de forma virtual. Los 35 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 75 presentaciones. Se organizan en los siguientes apartados temáticos: técnicas y reconocimiento de inteligencia artificial; técnicas de reconocimiento de patrones; redes neuronales y aprendizaje profundo; visión por computador; procesamiento y análisis de imágenes; y aplicaciones médicas del reconocimiento de patrones. |
Nota de contenido: |
Artificial Intelligence Techniques and Recognition -- A Straightforward Framework For Video Retrieval Using CLIP -- Inferential Rules for Identifying Answers in TOEFL Texts -- Automatic Detection of Injection Attacks by Machine Learning in NoSQL Databases -- Automatic Recognition of Learning-Centered Emotions -- Pattern Recognition Techniques -- Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles -- A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct -- Extremal Topologies for the Merrifield-Simmons Index on Dynamic Trees -- Experimental Comparison of Oversampling Methods for Mixed Datasets -- Shortening the Candidate List for Similarity Searching using Inverted Index -- Neural Networks and Deep Learning -- Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish -- Neovascularization Detection on Optic Disc Region using Deep Learning -- Metric Localisation for the NAO Robot -- Multi-Source Transfer Learning for Deep Reinforcement Learning -- Efficient Training of Deep Learning Models through Improved Adaptive Sampling -- Graph Representation for Learning the Traveling Salesman Problem -- Satellite Imagery Classification using Shallow and Deep Learning Approaches -- Skeletal Age Estimation from Hand Radiographs using Ensemble Deep Learning -- Computer Vision -- Quantifying Visual Similarity for Artistic Styles -- Automatic Classification of Zingiberales from RGB Images -- Classification of Rail Welding Defects based on the Bag of Visual Words Approach -- Fast Background Subtraction and Graph Cut for Thermal Pedestrian Detection -- Image Processing and Analysis -- Development of a Method for Identifying People by Processing Digital Images from Handprint -- Finding the Optimum Bit-quad Patterns for Computing the Euler Number of 2D Binary Images using Simulated Annealing -- Perceptual and Pixel-Wise Information for Visual Novelty Detection -- Multi-core Median Redescending M-Estimator for Impulsive Denoising in Color Images -- A Comparative Study of 3D Plant Modeling Systems based on Low-cost 2D LiDAR and Kinect -- Evaluation of Denoising Algorithms for Source Camera Linking -- Texture based Supervised Learning for Crater-like Structures Recognition using ALOS / PALSAR Images -- Medical Applications of Pattern Recognition -- A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization -- COVID-19 Related Pneumonia Detection in Lung Ultrasound -- Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis using Random Forest -- Lung-nodule Segmentation using a Convolutional Neural Network with the U-Net Architecture -- Multi-target Attachment for Surgical Instrument Tracking -- W-net: a Convolutional Neural Network for Retinal Vessel Segmentation -- Novel Features for Glaucoma Detection in Fundus Images. |
Tipo de medio : |
Computadora |
Summary : |
This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually. The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23–26, 2021, Proceedings [documento electrónico] / Roman-Rangel, Edgar, ; Kuri-Morales, Ãngel Fernando, ; MartÃnez-Trinidad, José Francisco, ; Carrasco-Ochoa, Jesús Ariel, ; Olvera-López, José Arturo, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 380 p. 158 ilustraciones, 122 ilustraciones en color. ISBN : 978-3-030-77004-4 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: |
Visión por computador Aplicación informática en ciencias sociales y del comportamiento. Inteligencia artificial Procesamiento de datos Sistemas de reconocimiento de patrones Ciencias sociales Reconocimiento de patrones automatizado |
Clasificación: |
006.4 |
Resumen: |
Este libro constituye las actas de la 13.ª Conferencia Mexicana sobre Reconocimiento de Patrones, MCPR 2021, cuya celebración estaba prevista en la Ciudad de México, México, en junio de 2021. En cambio, la conferencia se llevó a cabo de forma virtual. Los 35 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 75 presentaciones. Se organizan en los siguientes apartados temáticos: técnicas y reconocimiento de inteligencia artificial; técnicas de reconocimiento de patrones; redes neuronales y aprendizaje profundo; visión por computador; procesamiento y análisis de imágenes; y aplicaciones médicas del reconocimiento de patrones. |
Nota de contenido: |
Artificial Intelligence Techniques and Recognition -- A Straightforward Framework For Video Retrieval Using CLIP -- Inferential Rules for Identifying Answers in TOEFL Texts -- Automatic Detection of Injection Attacks by Machine Learning in NoSQL Databases -- Automatic Recognition of Learning-Centered Emotions -- Pattern Recognition Techniques -- Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles -- A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct -- Extremal Topologies for the Merrifield-Simmons Index on Dynamic Trees -- Experimental Comparison of Oversampling Methods for Mixed Datasets -- Shortening the Candidate List for Similarity Searching using Inverted Index -- Neural Networks and Deep Learning -- Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish -- Neovascularization Detection on Optic Disc Region using Deep Learning -- Metric Localisation for the NAO Robot -- Multi-Source Transfer Learning for Deep Reinforcement Learning -- Efficient Training of Deep Learning Models through Improved Adaptive Sampling -- Graph Representation for Learning the Traveling Salesman Problem -- Satellite Imagery Classification using Shallow and Deep Learning Approaches -- Skeletal Age Estimation from Hand Radiographs using Ensemble Deep Learning -- Computer Vision -- Quantifying Visual Similarity for Artistic Styles -- Automatic Classification of Zingiberales from RGB Images -- Classification of Rail Welding Defects based on the Bag of Visual Words Approach -- Fast Background Subtraction and Graph Cut for Thermal Pedestrian Detection -- Image Processing and Analysis -- Development of a Method for Identifying People by Processing Digital Images from Handprint -- Finding the Optimum Bit-quad Patterns for Computing the Euler Number of 2D Binary Images using Simulated Annealing -- Perceptual and Pixel-Wise Information for Visual Novelty Detection -- Multi-core Median Redescending M-Estimator for Impulsive Denoising in Color Images -- A Comparative Study of 3D Plant Modeling Systems based on Low-cost 2D LiDAR and Kinect -- Evaluation of Denoising Algorithms for Source Camera Linking -- Texture based Supervised Learning for Crater-like Structures Recognition using ALOS / PALSAR Images -- Medical Applications of Pattern Recognition -- A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization -- COVID-19 Related Pneumonia Detection in Lung Ultrasound -- Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis using Random Forest -- Lung-nodule Segmentation using a Convolutional Neural Network with the U-Net Architecture -- Multi-target Attachment for Surgical Instrument Tracking -- W-net: a Convolutional Neural Network for Retinal Vessel Segmentation -- Novel Features for Glaucoma Detection in Fundus Images. |
Tipo de medio : |
Computadora |
Summary : |
This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually. The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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