Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
To enlarge the capacity of the hidden secret information and to provide an imperceptible stego-image for human vision, a novel steganographic approach using tri-way pixel-value dif...
Ko-Chin Chang, Chien-Ping Chang, Ping S. Huang, Te...
Abstract: Nowadays, in the markets of broadband access services, traditional contracts are of "static" type. Customers buy the right to use a specific amount of resources...
Sergios Soursos, Costas Courcoubetis, Richard R. W...
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...