Pattern Recognition (eBook, PDF)

16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19-22, 2024, Proceedings
Redaktion: Mezura-Montes, Efrén; Olvera-López, José Arturo; Martínez-Trinidad, José Francisco; Carrasco-Ochoa, Jesús Ariel; Acosta-Mesa, Héctor Gabriel

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 398
• Erscheinungstermin: 16. Juni 2024
• Englisch
• ISBN-13: 9783031628368
• Artikelnr.: 72242997

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.