Abstract. A tree representation distance method, applied to any dissimilarity array, always gives a valued tree, even if the tree model is not appropriate. In the first part, we pr...
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
The purpose of this paper is two-fold: First, we give efficient algorithms for answering itemset support queries for collections of itemsets from various representations of the fre...
Abstract. Much research has focused on the problem of knowledge accessibility, sharing and reuse. Specific languages (e.g. KIF, CG, RDF) and ontologies have been proposed. Common c...