Robust Recognition via Information Theoretic Learning

Robust Recognition via Information Theoretic Learning

This Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have been proffered in the past decade, in a large variety of computer vision applications; this work brings them together, attempts to impart the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	He, Ran (Συγγραφέας), Hu, Baogang (Συγγραφέας), Yuan, Xiaotong (Συγγραφέας), Wang, Liang (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:	SpringerBriefs in Computer Science,
Θέματα:	Computer science. Computer graphics. Image processing. Computer Science. Computer Imaging, Vision, Pattern Recognition and Graphics. Image Processing and Computer Vision.
Διαθέσιμο Online:	Full Text via HEAL-Link

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