In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
The overwhelming amount of information on the web makes it critical for users to quickly and accurately evaluate the relevance of content. Here we tested whether pupil size can be...
Flavio T. P. Oliveira, Anne Aula, Daniel M. Russel...
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and compare objectively the performa...
Pierre Hellier, Christian Barillot, Isabelle Corou...
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...