Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
We present a K-out-of-L voting scheme, i.e., a voting scheme that allows every voter to vote for (up to) K candidates from a set of L candidates. The scheme is receipt-free, which ...
We present a fine-grain dynamic instruction placement algorithm for small L0 scratch-pad memories (spms), whose unit of transfer can be an individual instruction. Our algorithm ca...
Abstract. In this work we present CoDeL (Controller Description Language), a framework for rapidly prototyping policy specific controllers for routers in interconnection networks....
Radhakrishnan Sivakumar, Vassilios V. Dimakopoulos...