In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
This paper presents a performance study of a nonrigid registration algorithm for investigating lung disease on clusters. Our algorithm combines two conventional acceleration techn...
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...