Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Editat de José Ruiz-Shulcloper, Gabriella Sanniti Di Bajaen Limba Engleză Paperback – 22 oct 2013
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
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Specificații
ISBN-13: 9783642418266
ISBN-10: 3642418260
Pagini: 608
Ilustrații: XXXII, 573 p. 219 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.91 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642418260
Pagini: 608
Ilustrații: XXXII, 573 p. 219 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.91 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
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Public țintă
ResearchCuprins
Applications of Pattern Recognition.- Biometrics.- Video Analysis.- Data Mining.
Textul de pe ultima copertă
The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013.
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
Caracteristici
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