—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
In this paper, we study the problem of using an annotated corpus in English for the same natural language processing task in another language. While various machine translation sy...
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...