This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19-22, 2024, Proceedings. The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19-22, 2024, Proceedings.
The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
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Inhaltsangabe
.- Pattern Recognition and Machine Learning Techniques.
.- Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams.
.- Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways.
.- A Regression Tree as Acquisition Function for Low-dimensional Optimisation.
.- Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem.
.- Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data.
.- Shortest Reducts versus Shortest Constructs.
.- Diversity in Genetic Algorithms in the Generation of School Schedules.
.- Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach.
.- Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast.
.- Towards a Novel Approach for Knowledge Base Population Using Distant Supervision.
.- Mapping Activities onto a Two-dimensional Emotions Model for Dog Emotion Recognition Using Inertial Data.
.- An Exploratory Study on Machine-Learning-Based Hyper-heuristics for the Knapsack Problem.
.- Computer Vision.
.- Pattern Recognition of Pupillary Reflex Dynamics to Isoluminescent RGB Chromatic Stimuli.
.- On the Minimal Perimeter Polygon for Digital Objects in the Triangular Tiling.
.- 3BUGS: Representing Building Geometries Extracted from Point Clouds.
.- Front-to-Birds-Eye-View Transformation for Autonomous Vehicles: A Class Imbalance-based Approach.
.- Evaluating the Effectiveness of an AI Model with Transfer of Learning in the Educational Attendance Record.
.- Multimodal-Attention Fusion for the Detection of Questionable Content in Videos.
.- Optimization of Color Dominance Factor by Greedy Algorithm for Leaves and Fruit Segmentation of tomato Plants.
.- A Robust Content Identification System for Picture-In-Picture Attack Detection Using Trainable Background Removal and Perceptual Hashing Functions.
.- Medical Applications of Pattern Recognition.
.- Detection of Depression Symptoms Through Unsupervised Learning.
.- The Role of California Fires in Predicting Valley Fever.
.- Recognition of Leukemic Retinopathy Using Knowledge of Diabetic Retinopathy.
.- Classification of Breast Lesions Using Mammary Sinograms and Deep Learning.
.- Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment.
.- Comparison of CNNs and ViTs for the Detection of Human Skin Lesions.
.- Language Processing and Recognition.
.- Text-Independent Speaker Identification with Glottal Flow and 1D Convolutional Neural Networks.
.- Towards the Automatic Construction of Multimodal Graphical and Voice Interfaces.
.- An Analysis of the Impact of Gender and Age on Perceiving and Identifying Sexist Posts.
.- Relevance of Sentence Features for Multi-Document Text Summarization Using Human-Written Reference Summaries.
.- Classification of Human and Machine-generated Texts Using Lexical Features and Supervised/Unsupervised Machine Learning Algorithms.
.- Identification of Deceptive Texts Using Cascade Classification.
.- Deep Learning and Neural Networks.
.- LCAM-Net: Local Context Attention Network for Diabetic Retinopathy Severity Classification.
.- Image Classification with Recurrent Spiking Neural Networks.
.- Reducing Parameters by Neuroevolution in CNN for Steering Angle Estimation.
.- Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics.
.- Pattern Recognition and Machine Learning Techniques.
.- Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams.
.- Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways.
.- A Regression Tree as Acquisition Function for Low-dimensional Optimisation.
.- Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem.
.- Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data.
.- Shortest Reducts versus Shortest Constructs.
.- Diversity in Genetic Algorithms in the Generation of School Schedules.
.- Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach.
.- Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast.
.- Towards a Novel Approach for Knowledge Base Population Using Distant Supervision.
.- Mapping Activities onto a Two-dimensional Emotions Model for Dog Emotion Recognition Using Inertial Data.
.- An Exploratory Study on Machine-Learning-Based Hyper-heuristics for the Knapsack Problem.
.- Computer Vision.
.- Pattern Recognition of Pupillary Reflex Dynamics to Isoluminescent RGB Chromatic Stimuli.
.- On the Minimal Perimeter Polygon for Digital Objects in the Triangular Tiling.
.- 3BUGS: Representing Building Geometries Extracted from Point Clouds.
.- Front-to-Birds-Eye-View Transformation for Autonomous Vehicles: A Class Imbalance-based Approach.
.- Evaluating the Effectiveness of an AI Model with Transfer of Learning in the Educational Attendance Record.
.- Multimodal-Attention Fusion for the Detection of Questionable Content in Videos.
.- Optimization of Color Dominance Factor by Greedy Algorithm for Leaves and Fruit Segmentation of tomato Plants.
.- A Robust Content Identification System for Picture-In-Picture Attack Detection Using Trainable Background Removal and Perceptual Hashing Functions.
.- Medical Applications of Pattern Recognition.
.- Detection of Depression Symptoms Through Unsupervised Learning.
.- The Role of California Fires in Predicting Valley Fever.
.- Recognition of Leukemic Retinopathy Using Knowledge of Diabetic Retinopathy.
.- Classification of Breast Lesions Using Mammary Sinograms and Deep Learning.
.- Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment.
.- Comparison of CNNs and ViTs for the Detection of Human Skin Lesions.
.- Language Processing and Recognition.
.- Text-Independent Speaker Identification with Glottal Flow and 1D Convolutional Neural Networks.
.- Towards the Automatic Construction of Multimodal Graphical and Voice Interfaces.
.- An Analysis of the Impact of Gender and Age on Perceiving and Identifying Sexist Posts.
.- Relevance of Sentence Features for Multi-Document Text Summarization Using Human-Written Reference Summaries.
.- Classification of Human and Machine-generated Texts Using Lexical Features and Supervised/Unsupervised Machine Learning Algorithms.
.- Identification of Deceptive Texts Using Cascade Classification.
.- Deep Learning and Neural Networks.
.- LCAM-Net: Local Context Attention Network for Diabetic Retinopathy Severity Classification.
.- Image Classification with Recurrent Spiking Neural Networks.
.- Reducing Parameters by Neuroevolution in CNN for Steering Angle Estimation.
.- Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics.
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