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020 _a9783662446904
024 7 _a10.1007/978-3-662-44690-4
_2doi
040 _bspa
_dES-MaUEC
050 4 _aTK7882.P3
_bZ464 2015 EB
100 1 _aZeng, Jia.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/nb2014025768
_1http://viaf.org/viaf/38242123/
245 1 0 _aType-2 Fuzzy Graphical Models for Pattern Recognition
_cby Jia Zeng, Zhi-Qiang Liu.
264 1 _aBerlin, Heidelberg
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XIII, 201 páginas 112 ilustraciones)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v591
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Probabilistic Graphical Models -- Type-2 Fuzzy Sets for Pattern Recognition -- Type-2 Fuzzy Gaussian Mixture Models -- Type-2 Fuzzy Hidden Moarkov Models -- Type-2 Fuzzy Markov Random Fields -- Type-2 Fuzzy Topic Models -- Conclusions and FutureWork.
520 3 _aThis book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.
988 _aEBSPRINGER_2018
650 7 _aReconocimiento de formas
_2embne
_9152614
700 1 _aLiu, Zhi-Qiang.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/93632073/
776 0 8 _iEdición impresa:
_z9783662446911
776 0 8 _iEdición impresa:
_z9783662446898
776 0 8 _iEdición impresa:
_z9783662515228
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-44690-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_eIG
_zSI