Pattern Recognition (Record no. 178817)

MARC details
000 -LEADER
fixed length control field 05983nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-031-33783-3
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125522.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031337833
-- 978-3-031-33783-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-33783-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q337.5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.P3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 23
245 10 - TITLE STATEMENT
Title Pattern Recognition
Medium [electronic resource] :
Remainder of title 15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21–24, 2023, Proceedings /
Statement of responsibility, etc edited by Ansel Yoan Rodríguez-González, Humberto Pérez-Espinosa, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 328 p. 150 illus., 104 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 13902
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rodríguez-González, Ansel Yoan.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pérez-Espinosa, Humberto.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Martínez-Trinidad, José Francisco.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Carrasco-Ochoa, Jesús Ariel.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Olvera-López, José Arturo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031337826
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031337840
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 13902
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-33783-3">https://doi.org/10.1007/978-3-031-33783-3</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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