Artificial Neural Networks in Pattern Recognition (Record no. 174601)

MARC details
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fixed length control field 04790nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-030-58309-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125130.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030583095
-- 978-3-030-58309-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-58309-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Neural Networks in Pattern Recognition
Medium [electronic resource] :
Remainder of title 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings /
Statement of responsibility, etc edited by Frank-Peter Schilling, Thilo Stadelmann.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 306 p. 205 illus., 114 illus. in color.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 12294
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Deep Learning Methods for Image Guidance in Radiation Therapy Intentional Image Similarity Search -- Sttructured (De)composable Representations Trained with Neural Networks -- Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling -- Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins -- Abstract Echo State Networks -- Minimal Complexity Support Vector Machines -- Named Entity Disambiguation at Scale -- Geometric Attention for Prediction of Differential Properties in 3D Point Clouds -- How (Not) to Measure Bias in Face Recognition Networks.-Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database -- Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario -- A deep learning approach for efficient registration of dual view mammography -- Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology -- Applications of Generative Adversarial Networks to Dermatologic Imaging -- Typing Plasmids with Distributed Sequence Representation -- KP-YOLO: a modification of YOLO algorithm for the keypoint-based detection of QR Codes -- Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools -- A Hybrid Deep Learning Approach For Forecasting Air Temperature -- Using CNNs to optimize numerical simulations in geotechnical engineering -- Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification -- A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture -- ML-Based Trading Models: An investigation during COVID-19 pandemic crisis -- iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.
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 vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
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 Image processing
General subdivision Digital techniques.
650 14 - 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 Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - 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 Computer Imaging, Vision, Pattern Recognition and Graphics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schilling, Frank-Peter.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stadelmann, Thilo.
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 9783030583088
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030583101
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 12294
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-58309-5">https://doi.org/10.1007/978-3-030-58309-5</a>
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Koha item type eBooks-CSE-Springer

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