Pattern Recognition : (Record no. 84517)
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000 -LEADER | |
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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 |
-- | |
-- | 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 |
912 ## - | |
-- | 978-3-11-071955-0 DG Plus eBook-Package 2018 |
-- | 2018 |
912 ## - | |
-- | EBA_BACKALL |
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-- | EBA_CL_CHCOMSGSEN |
912 ## - | |
-- | EBA_DGALL |
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-- | EBA_EBACKALL |
912 ## - | |
-- | EBA_EBKALL |
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-- | EBA_ECL_CHCOMSGSEN |
912 ## - | |
-- | EBA_EEBKALL |
912 ## - | |
-- | EBA_ESTMALL |
912 ## - | |
-- | EBA_STMALL |
912 ## - | |
-- | GBV-deGruyter-alles |
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-- | PDA12STME |
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-- | PDA13ENGE |
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-- | PDA18STMEE |
912 ## - | |
-- | PDA5EBK |
912 ## - | |
-- | ZDB-23-DEI |
-- | 2017 |
912 ## - | |
-- | ZDB-23-DGG |
-- | 2017 |
912 ## - | |
-- | ZDB-23-OTI |
-- | 2017 |
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