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...
Κύριοι συγγραφείς: | , , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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Σειρά: | SpringerBriefs in Computer Science,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- M-estimators and Half-quadratic Minimization
- Information Measures
- Correntropy and Linear Representation
- ℓ1 Regularized Correntropy
- Correntropy with Nonnegative Constraint.