We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although differ...
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
This paper presents recent work on a multimedia retrieval project at Cambridge University and Olivetti Research Limited ORL. We present novel techniques that allow extremely rapid...
M. G. Brown, J. T. Foote, Gareth J. F. Jones, Kare...
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...