Pattern Recognition

17th Mexican Conference, MCPR 2025, Guanajuato, Mexico, June 25-28, 2025, Proceedings
Herausgegeben:López-Monroy, Adrián Pastor; Rosales-Pérez, Alejandro; Carrasco-Ochoa, Jesús Ariel; Martínez-Trinidad, José Francisco; Olvera-López, José Arturo

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 15715
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-96254-7
• Seitenzahl: 391
• Erscheinungstermin: Juli 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783031962547
• Artikelnr.: 74212665

Inhaltsangabe

.- 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.