In this paper we investigate the challenging problem of recovering the depth layers in a scene from a single defocused observation. The problem is definitely solvable if there are...
As access times to main memory and disks continue to diverge, faster non-volatile storage technologies become more attractive for speeding up data analysis applications. NAND flas...
Mehul A. Shah, Stavros Harizopoulos, Janet L. Wien...
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
The focus of this paper reports a collaborative effort with the State of New Jersey in designing and building a human-centered e-government portal to support small and medium size...
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...