UID:
almahu_9949772838302882
Umfang:
XV, 398 p. 149 illus., 118 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9783031628368
Serie:
Lecture Notes in Computer Science, 14755
Inhalt:
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.
Anmerkung:
-- 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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031628351
Weitere Ausg.:
Printed edition: ISBN 9783031628375
Sprache:
Englisch
DOI:
10.1007/978-3-031-62836-8
URL:
https://doi.org/10.1007/978-3-031-62836-8
Bookmarklink
