Pattern Recognition : 17th Mexican Conference, MCPR 2025, Guanajuato, Mexico, June 25-28, 2025, Proceedings (Lecture Notes in Computer Science 15715) (2025. xiv, 391 S. XIV, 391 p. 134 illus. 235 mm)

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Pattern Recognition : 17th Mexican Conference, MCPR 2025, Guanajuato, Mexico, June 25-28, 2025, Proceedings (Lecture Notes in Computer Science 15715) (2025. xiv, 391 S. XIV, 391 p. 134 illus. 235 mm)

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Full Description

This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25-28, 2025.

The 36 full papers presented in this volume were carefully reviewed and selected from 70 submissions. 

They are grouped into the following topics: Pattern Recognition and Machine Learning Techniques; Language Processing and Recognition; Computer Vision; Medical Applications of Pattern Recognition; Reinforcement Learning; Deep Learning and Neural Networks.

Contents

.- Pattern Recognition and Machine Learning Techniques.

.- Detection of Concept Drift in Bayesian Networks.

.- Hausdorff Distance Optimization in Low-Density Point Clouds.

.- Extremal Topologies for the Merrifield-Simmon Index on Dendrimers
in Drug Delivery.

.- Tailoring Bounded Instances for the Job Shop Scheduling Problem
through Unified Particle Swarm Optimization.

.- Empirical Comparison of Density-Based Clustering Algorithms for
Large Datasets.

.- Exact versus Approximate Patterns in Dissimilarity-Based Graph
Embedding for Supervised Classification.

.- Optimized Early Detection of Bark Beetles through Automated
Segmentation and Machine Learning Classification.

.- Handling Constraints in Clustering via Multi-Objective Evolutionary
Algorithms.

.- Analysis of Childrens Emotions in Sketches Using Classical and Deep
Learning Approaches.

.- Heuristic-Based Optimization Using Elementary Cellular Automata: A
Preliminary Study on the Knapsack Problem.

.- Language Processing and Recognition.

.- Dynamic Strategy for Recognizing the Mexican Sign Language
Alphabet: Bridging Static and Dynamic Signs.

.- Classification of Suicidal Texts Based on Emotional Change Detection
Using LSTM.

.- Synthetic Corpus of Emotions for Detection of Depression in Social
Networks.

.- Deep Neural Networks and Log-Mel Spectrogram for Emotion
Recognition through Spanish Speech.

.- Phonetic Spectral Image Representation for Yuhmu Language Analysis.

.- Multi-Label Classification of Texts on Harassment and Discrimination
with Neural Networks.

.- Exploring a Multimodal Language Model for Auto-Captioning and
Visual Question Answering in Histopathology Images.

.- Computer Vision.

.- Automatic Counting System in a Region of Interest from Videos Taken
by Drones.

.- Real-Time Image Analysis Using a Depth Camera for UAV Applications.

.- Extending Reference-Based Texture Transformers for Image Dehazing.

.- Vision-Based Formation Control Using Visual Servoing and Virtual
Homographies.

.- Laser Beam Centroid Detection for Automatic Spatial Filtering: A
Comparative Analysis of Machine Vision Algorithms.

.- Towards End-To-End Visual Odometry for Unstructured Agricultural
Environments.

.- Medical Applications of Pattern Recognition.

.- Early Detection of Acute Myocardial Infarction (AMI) Risk Using
Optimized Machine Learning Models.

.- Deep Learning Approaches for Glaucoma Detection: A Comparative
Study of CNN Models on Retinal Fundus Images.

.- Classification of CFD-Generated Aortic Flow Images Using Neural
Networks.

.- Explainable Diagnosis of Bacterial Vaginosis: A Hierarchical Approach
Based on XAI.

.- Reinforcement Learning.

.- Evaluating Deep Reinforcement Learning for Robotic Navigation.

.- Determining Optimal Population Management with Reinforcement
Learning.

.- Deep Learning and Neural Networks.

.- Hybrid Deep Learning Architecture for Automatic Detection of
Coronary Stenosis in X-Ray Videos.

.- Predicting Crowd Motion with Diffusion Models.

.- Enhancing Perceptron Learning through Bayesian Optimisation and
Cross-Validation.

.- Facial Expression Recognition Using Light Weight CNNs and Soft Voting.

.- Automatic Segmentation of the Major Temporal Arcade Using U-Net
Attention Architecture.

.- A Lightweight Diffusion Model with Modified Sampler.

.- Unsupervised Emotion Analysis in Mexican Popular Music Lyrics
Using a Bert-Based Model.

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