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CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 10 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
ML
2008
ACM
101views Machine Learning» more  ML 2008»
14 years 10 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
JAIR
2010
77views more  JAIR 2010»
14 years 8 months ago
Resource-Driven Mission-Phasing Techniques for Constrained Agents in Stochastic Environments
Because an agent’s resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such a...
E. H. Durfee Wu, Edmund H. Durfee
CMPB
2010
186views more  CMPB 2010»
14 years 10 months ago
GPU-based cone beam computed tomography
The use of cone beam computed tomography (CBCT) is growing in the clinical arena due to its ability to provide 3-D information during interventions, its high diagnostic quality (su...
Peter B. Noël, Alan M. Walczak, Jinhui Xu, Ja...
IPSN
2009
Springer
15 years 4 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...