Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
This paper proposes a test architecture aimed at reducing test time of distributed small embedded SRAMs (eSRAMs). This architecture improves the one proposed in [4, 5]. The improv...
Abstract—In this study, a robust minimum variance beamformer (RMVB) is employed for source reconstruction in simultaneous MEG and local field potential (LFP) measurements. RMVB ...
Hamid Reza Mohseni, Morten L. Kringelbach, Mark W....
Abstract—Early P2P-TV systems have already attracted millions of users, and many new commercial solutions are entering this market. Little information is however available about ...