: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this...
This paper presents a novel and effective approach to synthesize English handwriting in the user’s writing style. We select the most important features that depict the handwriti...
Abstract. Classification in genres and domains is a major field of research for Information Retrieval (scientific and technical watch, datamining, etc.) and the selection of app...
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...