Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the 0-norm minimization for sparse coding (i...
The paper studies the computational complexity and approximation algorithms for a new evolutionary distance between multi-chromosomal genomes introduced recently by Ferretti, Nade...
Bhaskar DasGupta, Tao Jiang, Sampath Kannan, Ming ...
This paper presents a novel set of geometric moments with symmetric kernel (SGM) obtained using an appropriate transformation of image coordinates. By using this image transformat...
We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is ...
We propose a new notion of secure multiparty computation aided by a computationally-powerful but untrusted “cloud” server. In this notion that we call on-the-fly multiparty c...