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JMLR
2010
133views more  JMLR 2010»
14 years 11 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
ICIP
2002
IEEE
16 years 6 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 4 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
147
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ICCD
2007
IEEE
179views Hardware» more  ICCD 2007»
16 years 1 months ago
Energy-aware co-processor selection for embedded processors on FPGAs
In this paper, we present co-processor selection problem for minimum energy consumption in hw/sw co-design on FPGAs with dual power mode. We provide theoretical analysis for the p...
Amir Hossein Gholamipour, Elaheh Bozorgzadeh, Suda...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 11 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld