Deep learning in biometrics / (Record no. 71767)

000 -LEADER
fixed length control field 03867nam a2200541Ii 4500
001 - CONTROL NUMBER
control field 9781351265003
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180727s2018 fluab ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351265003
-- (e-book : PDF)
082 04 - CLASSIFICATION NUMBER
Call Number 570.1/5195
245 00 - TITLE STATEMENT
Title Deep learning in biometrics /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (328 pages) :
520 3# - SUMMARY, ETC.
Summary, etc Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Life Sciences
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Electronics
700 1# - AUTHOR 2
Author 2 Singh, Richa,
700 1# - AUTHOR 2
Author 2 Vatsa, Mayank,
700 1# - AUTHOR 2
Author 2 Majumdar, Angshul,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781351265003
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton, FL :
-- CRC Press, an imprint of Taylor and Francis,
-- 2018.
336 ## -
-- text
-- rdacontent
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-- computer
-- rdamedia
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-- online resource
-- rdacarrier
650 12 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biometric Identification.
650 22 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biometric Identification.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- SCIENCE
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY & ENGINEERING
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY & ENGINEERING / Imaging Systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Deep Metric Learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Face Recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Metric Learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Multispectral Iris Recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Ocular Recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- 3D Processing With Deep Learning.

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