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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 6 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...
LWA
2008
15 years 8 months ago
On the Topical Structure of the Relevance Feedback Set
We investigate the topical structure of the set of documents used to expand a query in pseudorelevance feedback (PRF). We propose a coherence score to measure the relative topical...
Jiyin He, Martha Larson, Maarten de Rijke
FTCGV
2011
122views more  FTCGV 2011»
14 years 10 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
IPSN
2007
Springer
16 years 26 days ago
Active sensing platform for wireless structural health monitoring
This paper presents SHiMmer, a wireless platform for sensing and actuation that combines localized processing with energy harvesting to provide long-lived structural health monito...
D. Musiani, K. Lin, Tajana Simunic Rosing
179
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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 11 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...