Cargando…

Kernel Learning Algorithms for Face Recognition

This book discusses the advanced kernel learning algorithms and its application on face recognition. The book focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. This authors aim to solve the parameter selection problems endured by kern...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Li, Jun-Bao (Autor), Chu, Shu-Chuan (Autor), Pan, Jeng-Shyang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4614-0161-2
003 DE-He213
005 20220116051110.0
007 cr nn 008mamaa
008 130907s2014 xxu| s |||| 0|eng d
020 |a 9781461401612  |9 978-1-4614-0161-2 
024 7 |a 10.1007/978-1-4614-0161-2  |2 doi 
050 4 |a TK5102.9 
072 7 |a TJF  |2 bicssc 
072 7 |a UYS  |2 bicssc 
072 7 |a TEC008000  |2 bisacsh 
072 7 |a TJF  |2 thema 
072 7 |a UYS  |2 thema 
082 0 4 |a 621.382  |2 23 
100 1 |a Li, Jun-Bao.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Kernel Learning Algorithms for Face Recognition  |h [electronic resource] /  |c by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan. 
250 |a 1st ed. 2014. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a XV, 225 p. 58 illus., 19 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Statistical Learning and Face Recognition -- Kernel Learning Foundation -- Kernel Principal Analysis Based Face Recognition -- Kernel Discriminant Analysis Based Face Recognition -- Kernel Manifold Learning Based Face Recognition -- Kernel Semi-supervised Based Face Recognition -- Kernel Learning Based Face Recognition for Smart Environment -- Kernel Optimization Based Face Recognition -- Kernel Construction for Face Recognition. 
520 |a This book discusses the advanced kernel learning algorithms and its application on face recognition. The book focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. This authors aim to solve the parameter selection problems endured by kernel learning algorithms, and presents kernel optimization method with the data dependent kernel. This text extends the definition of data-dependent kernel and applies it to kernel optimization. Included within are algorithms of kernel based face recognition and the feasibility of the kernel based face recognition method. 
650 0 |a Signal processing. 
650 0 |a Telecommunication. 
650 0 |a Computational intelligence. 
650 0 |a Computer vision. 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Computer Vision. 
700 1 |a Chu, Shu-Chuan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Pan, Jeng-Shyang.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461401629 
776 0 8 |i Printed edition:  |z 9781461401605 
776 0 8 |i Printed edition:  |z 9781493952120 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4614-0161-2  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)