This work explores a statistical basis for a process often described in computer vision: image segmentation by region merging following a particular order in the choice of regions...
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
‘Knowledge sharing’ and ‘learning’ are terms often connected with the ‘New office’, the “modern” open office space. Work in these settings becomes more and more dis...
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
Abstract. We present a system for detecting shadows in dynamic outdoor scenes. The technique is based on fusing background subtraction operations performed on both color and dispar...
Claus B. Madsen, Thomas B. Moeslund, Amit Pal, Sha...