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El. knyga: Pattern Recognition: 15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21-24, 2023, Proceedings

  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 13902
  • Išleidimo metai: 08-Jun-2023
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031337833
Kitos knygos pagal šią temą:
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 13902
  • Išleidimo metai: 08-Jun-2023
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031337833
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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.
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 UsingDeep 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.