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...
Main Authors: | He, Ran (Author), Hu, Baogang (Author), Yuan, Xiaotong (Author), Wang, Liang (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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Series: | SpringerBriefs in Computer Science,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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