Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
Abstract. This paper introduces the logical system HOL2P that extends classical higher order logic (HOL) with type operator variables and universal types. HOL2P has explicit term o...
We consider how to exploit the correlation in image for compression by virtue of studying image patches in a nonparametric manner. Instead of extracting and recording parameters, ...
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
Generalization is a fundamental operation of inductive inference. While rst order syntactic generalization anti-uni cation is well understood, its various extensions are needed in...