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CVPR
2012
IEEE
11 years 10 months ago
Submodular dictionary learning for sparse coding
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...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
TIT
2008
103views more  TIT 2008»
13 years 7 months ago
Fast Distributed Algorithms for Computing Separable Functions
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...
Damon Mosk-Aoyama, Devavrat Shah
IPPS
2007
IEEE
14 years 2 months ago
Analyzing the Scalability of Graph Algorithms on Eldorado
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...
DAGM
2008
Springer
13 years 9 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
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...
Jörg H. Kappes, Christoph Schnörr
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
14 years 1 months ago
Sparse appearance based modeling for robot localization
— 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...
Olaf Booij, Zoran Zivkovic, Ben J. A. Kröse