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125
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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 3 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...
149
Voted
AOR
2010
15 years 1 months ago
Solutions diversification in a column generation algorithm
Column generation algorithms have been specially designed for solving mathematical programs with a huge number of variables. Unfortunately, this method suffers from slow convergen...
Nora Touati Moungla, Lucas Létocart, Anass ...
CBMS
2006
IEEE
15 years 9 months ago
Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
167
Voted
DIS
2007
Springer
15 years 7 months ago
Time and Space Efficient Discovery of Maximal Geometric Graphs
A geometric graph is a labeled graph whose vertices are points in the 2D plane with an isomorphism invariant under geometric transformations such as translation, rotation, and scal...
Hiroki Arimura, Takeaki Uno, Shinichi Shimozono
116
Voted
JMLR
2010
101views more  JMLR 2010»
14 years 10 months ago
Efficient Reductions for Imitation Learning
Imitation Learning, while applied successfully on many large real-world problems, is typically addressed as a standard supervised learning problem, where it is assumed the trainin...
Stéphane Ross, Drew Bagnell