To recognize three-dimensional objects it is important to
model how their appearances can change due to changes
in viewpoint. A key aspect of this involves understanding
which o...
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshi...
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
In this paper we report on a set of computational tools with (n)SGML pipeline data flow for uncovering internal structure in natural language texts. The main idea behind the workb...