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Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Buch
Zustand: New.
Verlag: LAP Lambert Academic Publishing 2013-05, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Buch
PF. Zustand: New.
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: PBShop.store US, Wood Dale, IL, USA
Buch Print-on-Demand
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Verlag: LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch Print-on-Demand
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classification of images is one of the most challenging research topics in machine learning, with a range of application including computer vision. Classification of faces is particularly hard due to the presence of disturbance elements such as illumination, pose, misalignment, occlusion, low resolution, expressions and scale; classification of emotions is complicated by the different level of intensity, cultural changes, and the co-presence of identity related info. Recent developments in the theory of compressive sensing have inspired a sparsity based classification algorithm, which turns out to be very successful. This work summarizes the study done on the Sparse Representation based Classifier (SRC), it investigates the characteristics of SRC, and it tests its potentialities on 2D emotional faces. It is an empirical work; all experiments use the Extended Yale B and the Extended Cohn-Kanade databases. Experimental results place SRC into the shortlist of the most successful classifiers. This study should help shed some light on SRC and should be especially useful to researchers and professionals in machine learning and computer vision. 120 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch Print-on-Demand
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classification of images is one of the most challenging research topics in machine learning, with a range of application including computer vision. Classification of faces is particularly hard due to the presence of disturbance elements such as illumination, pose, misalignment, occlusion, low resolution, expressions and scale; classification of emotions is complicated by the different level of intensity, cultural changes, and the co-presence of identity related info. Recent developments in the theory of compressive sensing have inspired a sparsity based classification algorithm, which turns out to be very successful. This work summarizes the study done on the Sparse Representation based Classifier (SRC), it investigates the characteristics of SRC, and it tests its potentialities on 2D emotional faces. It is an empirical work; all experiments use the Extended Yale B and the Extended Cohn-Kanade databases. Experimental results place SRC into the shortlist of the most successful classifiers. This study should help shed some light on SRC and should be especially useful to researchers and professionals in machine learning and computer vision.
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Buch Print-on-Demand
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400661ISBN 13: 9783659400667
Anbieter: moluna, Greven, Deutschland
Buch Print-on-Demand
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Battini Soenmez ElenaBSc Computing Science, University of Pisa, IT MSc Computing Software and System Design, University of Newcastle, U.K PhD Computer Engineering, Yildiz Technical University, Istanbul, TR. Instructor at Computer En.