Pattern Recognition : (Record no. 84517)

000 -LEADER
fixed length control field 06967nam a22009015i 4500
001 - CONTROL NUMBER
control field 9783110537949
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730161644.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210830t20172018gw fo d z eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783110537949
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title
100 1# - AUTHOR NAME
Author Beyerer, Jürgen,
245 10 - TITLE STATEMENT
Title Pattern Recognition :
Sub Title Introduction, Features, Classifiers and Principles /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XXVIII, 283 p.)
490 0# - SERIES STATEMENT
Series statement De Gruyter Textbook
520 ## - SUMMARY, ETC.
Summary, etc The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors' point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners
520 ## - SUMMARY, ETC.
Summary, etc The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors' point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughlyExtremely practical approach with many examplesBased on over ten years lecture at Karlsruhe Institute of TechnologyFor students but also for practitioners
700 1# - AUTHOR 2
Author 2 Beyerer, Jürgen,
700 1# - AUTHOR 2
Author 2 Nagel, Matthias,
700 1# - AUTHOR 2
Author 2 Nagel, Matthias,
700 1# - AUTHOR 2
Author 2 Richter, Matthias,
700 1# - AUTHOR 2
Author 2 Richter, Matthias,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1515/9783110537949
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/isbn/9783110537949
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/cover/covers/9783110537949.jpg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- München ;
-- Wien :
-- De Gruyter Oldenbourg,
-- [2017]
264 #4 -
-- ©2018
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
588 0# -
-- Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition systems.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
912 ## -
-- 978-3-11-062526-4 EBOOK PACKAGE COMPLETE ENGLISH 2017
-- 2017
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-- 978-3-11-071955-0 DG Plus eBook-Package 2018
-- 2018
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-- EBA_BACKALL
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-- EBA_DGALL
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-- EBA_EEBKALL
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-- EBA_ESTMALL
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-- EBA_STMALL
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-- GBV-deGruyter-alles
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-- PDA12STME
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-- PDA13ENGE
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-- PDA18STMEE
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-- PDA5EBK
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-- ZDB-23-DEI
-- 2017
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-- ZDB-23-DGG
-- 2017
912 ## -
-- ZDB-23-OTI
-- 2017

No items available.