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 theory, optimization and usage of information entropy.The authors resort to a new information theoretic concept, correntropy, as a robust measure and apply it to solve robust face recognition and object recognition problems. For computational efficiency, the brief introduces the additive and multiplicative forms of half-quadratic optimization to e…
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Produktdetails
Weitere Autoren: Hu, Baogang / Yuan, Xiaotong / Wang, Liang
- ISBN: 978-3-319-07415-3
- EAN: 9783319074153
- Produktnummer: 16545383
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 110 S.
- Masse: H23.5 cm x B15.5 cm x D0.7 cm 201 g
- Auflage: 2014. 2014
- Abbildungen: Book; 4 schwarz-weiße und 24 farbige Abbildungen, 12 schwarz-weiße Tabellen, Bibliographie
- Gewicht: 201
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