Without any assumption on the cover source, this paper presents a complete characterization of all perfectly secure stego-systems that employ mutually independent embedding operat...
We investigate and discuss safety and privacy preserving properties of a game-theortic based coalition algorithm KCA for forming kernel stable coalitions among information agents ...
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...
A protection profile for high-robustness separation kernels has recently been validated and several implementations are under development. However, medium-robustness separation ke...
Rance J. DeLong, Thuy D. Nguyen, Cynthia E. Irvine...
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...