LEADER 04891nam 2200565 450 001 9910796616803321 005 20200520144314.0 010 $a3-11-053796-6 024 7 $a10.1515/9783110537949 035 $a(CKB)4100000001501836 035 $a(DE-B1597)479058 035 $a(OCoLC)1015878284 035 $a(DE-B1597)9783110537949 035 $a(Au-PeEL)EBL5159257 035 $a(CaPaEBR)ebr11481002 035 $a(CaSebORM)9783110537963 035 $a(MiAaPQ)EBC5159257 035 $a(EXLCZ)994100000001501836 100 $a20171215h20182018 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPattern Recognition $eintroduction, features, classifiers and principles /$fJu?rgen Beyerer, Matthias Richter, Matthias Nagel 210 1$aBerlin :$cDe Gruyter,$d[2018] 210 4$d©2018 215 $a1 online resource (306 pages) 225 1 $aDe Gruyter graduate 311 $a3-11-053793-1 311 $a3-11-053794-X 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tPreface / $rBeyerer, Jürgen / Richter, Matthias / Nagel, Matthias -- $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 330 $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 330 $aThe book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors' point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughlyExtremely practical approach with many examplesBased on over ten years lecture at Karlsruhe Institute of TechnologyFor students but also for practitioners 410 0$aDe Gruyter graduate. 606 $aPattern recognition systems 615 0$aPattern recognition systems. 676 $a006.4 686 $aST 330$2rvk 700 $aBeyerer$b Ju?rgen$01029954 702 $aRichter$b Matthias$f1957- 702 $aNagel$b M$g(Matthias), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910796616803321 996 $aPattern Recognition$93868154 997 $aUNINA