The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
It has long been considered a desirable goal to be able to construct an intelligible speech signal merely by observing the talker in the act of speaking. Past methods at performin...
Arthur R. Toth, Kaustubh Kalgaonkar, Bhiksha Raj, ...
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Distance measure plays an important role in clustering data points. Choosing the right distance measure for a given dataset is a non-trivial problem. In this paper, we study vario...
Ankita Vimal, Satyanarayana R. Valluri, Kamalakar ...
There are relatively few proposals for inconsistency measures for propositional belief bases. However inconsistency measures are potentially as important as information measures f...