The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
An information?theoretic model for image watermarking and data hiding systems is presented in this paper. The fundamental capacity limits of these systems are determined by the st...
? We give a new recursive rounding linear programming (LP) solution to the problem of N-detect test minimzation. This is a polynomialtime solution that closely approximates the exa...
A computationally efficient distributed beamforming technique for multi-user relay networks is developed. The channel state information is assumed to be known at the relays or de...
Haihua Chen, Alex B. Gershman, Shahram Shahbazpana...
Abstract— In this paper, we propose a power optimal opportunistic scheduling scheme for a multiuser single hop Time Division Multiple Access (TDMA) system. We formulate the probl...
Abhijeet Bhorkar, Abhay Karandikar, Vivek S. Borka...