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» Robustness and Generalization
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CPAIOR
2005
Springer
15 years 7 months ago
Multiconsistency and Robustness with Global Constraints
We propose a natural generalization of arc-consistency, which we call multiconsistency: A value v in the domain of a variable x is kmulticonsistent with respect to a constraint C i...
Khaled M. Elbassioni, Irit Katriel
MMSEC
2006
ACM
102views Multimedia» more  MMSEC 2006»
15 years 7 months ago
Zero-knowledge watermark detector robust to sensitivity attacks
Current zero-knowledge watermark detectors are based on a linear correlation between the asset features and a given secret sequence. This detection function is susceptible of bein...
Juan Ramón Troncoso-Pastoriza, Fernando P&e...
103
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COLT
2001
Springer
15 years 6 months ago
Robust Learning - Rich and Poor
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
John Case, Sanjay Jain, Frank Stephan, Rolf Wiehag...
ICTAI
2002
IEEE
15 years 6 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
89
Voted
ICMCS
2005
IEEE
108views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Robust learning-based TV commercial detection
A robust learning-based TV commercial detection approach is proposed in this paper. Firstly a set of basic features that facilitate distinguishing commercials from general program...
Xian-Sheng Hua, Lie Lu, Hong-Jiang Zhang