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...
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...
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...
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...
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...