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008 210830t20172018gw fo d z eng d
010 _a2017054350
020 _a9783110537949
024 7 _a10.1515/9783110537949
_2doi
035 _a(DE-B1597)479058
035 _a(OCoLC)1015878284
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
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]
264 4 _c©2018
300 _a1 online resource (XXVIII, 283 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
650 4 _aArtificial Intelligence.
_93407
650 4 _aAutomation.
_92392
650 4 _aData Mining.
_93907
650 4 _aMachine Learning.
_91831
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
773 0 8 _iTitle is part of eBook package:
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773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tEBOOK PACKAGE Engineering, Computer Sciences 2017
_z9783110547757
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776 0 _cEPUB
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856 4 0 _uhttps://doi.org/10.1515/9783110537949
856 4 0 _uhttps://www.degruyter.com/isbn/9783110537949
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