UID:
almahu_9949616736502882
Umfang:
XIV, 328 p. 150 illus., 104 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9783031337833
Serie:
Lecture Notes in Computer Science, 13902
Inhalt:
This book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21-24, 2023. The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition.
Anmerkung:
Pattern Recognition and Machine Learning Techniques: Feature Analysis and Selection for Water Stream Modeling -- A Cloud-based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution -- A New Approach for Road Type Classification using Multi-Stage Graph Embedding Method -- Removing the Black-Box from Machine Learning -- Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment -- Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Dierential Evolution -- A Method for Counting Models on Cubic Boolean Formulas -- Automatic Identication of Learning Styles through Behavioral Patterns -- Comparison of Classiers in Challenge Scheme -- Deep Learning and Neural Networks: Robust Zero-Watermarking for Medical Images based on Deep Learning Feature Extraction -- Plant Stress Recognition Using Deep Learning and 3D Reconstruction -- Segmentation and Classification Networks for Corn/Weed Detection under Excessive Field Variabilities -- Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation -- Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks -- Estimation of Stokes Parameters using Deep Neural Networks -- Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification -- Medical Applications of Pattern Recognition: Hadamard Layer to Improve Semantic Segmentation in Medical Images -- Patterns in Genesis of Breast Cancer Tumor -- Realistic Simulation of Event-Related Potentials and their usual Noise and Interferences for Pattern Recognition -- Chest X-ray Imaging Severity Score of COVID-19 Pneumonia -- Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples -- Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms -- Retinal Artery and Vein Segmentation using an Image-to-image Conditional Adversarial Network -- Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells -- Language Processing and Recognition: Machine Learning Models Applied in Sign Language Recognition -- Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical forms -- Improving the Identification of Abusive Language through Careful Design of Pre-training Tasks -- Industrial Applications of Pattern Recognition: TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving -- Machine-learning based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device -- Graph-based Semi-Supervised Learning using Riemannian Geometry Distance for Motor Imagery Classification.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031337826
Weitere Ausg.:
Printed edition: ISBN 9783031337840
Sprache:
Englisch
DOI:
10.1007/978-3-031-33783-3
URL:
https://doi.org/10.1007/978-3-031-33783-3
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