In this paper we present a new descriptor for spatial distribution of motion activity in video sequences. We construct a histogram of areas of distinct regions (or "blobs&quo...
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
The Resource Description Framework [RDF] provides a basic model to describe relationships between objects. Ultimately, it is intended to permit the representation, combination and ...
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...