Motivated by the work of Uehara et al. [1], an improved method to recover DC coefficients from AC coefficients of DCT-transformed images is investigated in this work, which finds ...
This work considers coordination and bargaining between two selfish users over a Gaussian interference channel using game theory. The usual information theoretic approach assumes f...
We investigate the asymptotic behavior of the steady-state queue length distribution under generalized maxweight scheduling in the presence of heavy-tailed traffic. We consider a s...
Krishna P. Jagannathan, Mihalis Markakis, Eytan Mo...
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...