000 | 06967nam a22009015i 4500 | ||
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001 | 9783110537949 | ||
003 | DE-B1597 | ||
005 | 20240730161644.0 | ||
006 | m|||||o||d|||||||| | ||
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008 | 210830t20172018gw fo d z eng d | ||
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020 | _a9783110537949 | ||
024 | 7 |
_a10.1515/9783110537949 _2doi |
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035 | _a(DE-B1597)479058 | ||
035 | _a(OCoLC)1015878284 | ||
040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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041 | 0 | _aeng | |
044 |
_agw _cDE |
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050 | 0 | 0 |
_aTK7882.P3 _bB45 2018 |
100 | 1 |
_aBeyerer, Jürgen, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977437 |
|
245 | 1 | 0 |
_aPattern Recognition : _bIntroduction, Features, Classifiers and Principles / _cJürgen Beyerer, Matthias Richter, Matthias Nagel. |
264 | 1 |
_aMünchen ; _aWien : _bDe Gruyter Oldenbourg, _c[2017] |
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264 | 4 | _c©2018 | |
300 | _a1 online resource (XXVIII, 283 p.) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 0 | _aDe Gruyter Textbook | |
505 | 0 | 0 |
_tFrontmatter -- _tPreface -- _tContents -- _tList of Tables -- _tList of Figures -- _tNotation -- _tIntroduction -- _t1. Fundamentals and definitions -- _t2. Features -- _t3. Bayesian decision theory -- _t4. Parameter estimation -- _t5. Parameter free methods -- _t6. General considerations -- _t7. Special classifiers -- _t8. Classification with nominal features -- _t9. Classifier-independent concepts -- _tA. Solutions to the exercises -- _tB. A primer on Lie theory -- _tC. Random processes -- _tBibliography -- _tGlossary -- _tIndex |
506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
|
520 | _aThe 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 | _aThe 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 | ||
538 | _aMode of access: Internet via World Wide Web. | ||
546 | _aIn English. | ||
588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) | |
650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 4 |
_aArtificial Intelligence. _93407 |
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650 | 4 |
_aAutomation. _92392 |
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650 | 4 |
_aData Mining. _93907 |
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650 | 4 |
_aMachine Learning. _91831 |
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700 | 1 |
_aBeyerer, Jürgen, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977437 |
|
700 | 1 |
_aNagel, Matthias, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977438 |
|
700 | 1 |
_aNagel, Matthias, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977438 |
|
700 | 1 |
_aRichter, Matthias, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977439 |
|
700 | 1 |
_aRichter, Matthias, _econtributor. _4ctb _4https://id.loc.gov/vocabulary/relators/ctb _977439 |
|
773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDG OWV ebook Paket Lehrbücher Technik und Informatik 2017 _z9783110549218 _oZDB-23-OTI |
773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDG Plus eBook-Package 2018 _z9783110719550 |
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_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE COMPLETE ENGLISH 2017 _z9783110625264 |
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_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE Engineering, Computer Sciences 2017 _z9783110547757 _oZDB-23-DEI |
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_cprint _z9783110537932 |
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