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CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 9 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
DPD
2000
93views more  DPD 2000»
13 years 8 months ago
Ontological Approach for Information Discovery in Internet Databases
The Internet has solved the age-old problem of network connectivity and thus enabling the potential access to, and data sharing among large numbers of databases. However, enabling ...
Mourad Ouzzani, Boualem Benatallah, Athman Bouguet...
ICML
1999
IEEE
14 years 9 months ago
Distributed Value Functions
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
TC
2002
13 years 8 months ago
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
We present novel grid coverage strategies for effective surveillance and target location in distributed sensor networks. We represent the sensor field as a grid (two or three-dimen...
Krishnendu Chakrabarty, S. Sitharama Iyengar, Hair...
ECCV
1996
Springer
14 years 10 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche