This paper presents the definition as well as a number of methods for the solution of a new combinatorial optimization problem, called S-MAMP that has to be solved for the efficie...
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
While much work has addressed the problem of maintaining materialized views, the important question of optimizing queries in the presence of materialized views has not been resolv...
Surajit Chaudhuri, Ravi Krishnamurthy, Spyros Pota...
Abstract. We present an information-theoretic framework for mining dependencies between itemsets in binary data. The problem of closure-based redundancy in this context is theoreti...
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...