We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
This paper considers the problem of constrained tracking the timevarying room impulse response of a source/microphone pair. The constraint which is used to improve the performance...
Let r, B and w be positive integers. Let C be a linear code of length Bw and subspace of Fr 2. The k-regular-decoding problem is to find a nonzero codeword consisting of w length...
We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral co...
Gowri Srinivasa, Vivek S. Oak, Siddharth J. Garg, ...