We focus on motion estimation using a block matching approach and suggest using a minimum-entropy criterion. Many entropy-based estimation procedures exist, such as plug-in estima...
Sylvain Boltz, Eric Wolsztynski, Eric Debreuve, Er...
—This paper studies the problem of high-dimensional multiple testing and sparse recovery from the perspective of sequential analysis. In this setting, the probability of error is...
The purpose of this paper is to examine existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap...
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of im...
Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gi...