A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
The problem of computing functions of values at the nodes in a network in a fully distributed manner, where nodes do not have unique identities and make decisions based only on loc...
The Cray MTA-2 system provides exceptional performance on a variety of sparse graph algorithms. Unfortunately, it was an extremely expensive platform. Cray is preparing an Eldorad...
Keith D. Underwood, Megan Vance, Jonathan W. Berry...
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
— In appearance based robot localization a new image is matched with every image in the database. In this paper we describe how to reduce the number of images in this database wi...