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JMLR
2010
133views more  JMLR 2010»
15 years 2 months ago
Exclusive Lasso for Multi-task Feature Selection
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
Yang Zhou, Rong Jin, Steven C. H. Hoi
ARCS
2012
Springer
14 years 3 months ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
IOR
2007
100views more  IOR 2007»
15 years 7 months ago
Competition in Service Industries
We analyze a general market for an industry of competing service facilities. Firms differentiate themselves by their price levels and the waiting time their customers experience,...
Gad Allon, Awi Federgruen
ICIP
2002
IEEE
16 years 9 months ago
Efficient selection of image patches with high motion confidence
Motion confidence measures aim to identify how well an image patch determines image motion. These kinds of confidence measures are commonly used to select points for optical flow ...
Peter Sand, Leonard McMillan
SIGMOD
2003
ACM
172views Database» more  SIGMOD 2003»
16 years 7 months ago
Dynamic Sample Selection for Approximate Query Processing
In decision support applications, the ability to provide fast approximate answers to aggregation queries is desirable. One commonly-used technique for approximate query answering ...
Brian Babcock, Surajit Chaudhuri, Gautam Das