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JMLR
2010
133views more  JMLR 2010»
15 years 1 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
CVPR
2003
IEEE
16 years 8 months ago
Object Removal by Exemplar-Based Inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this...
Antonio Criminisi, Kentaro Toyama, Patrick P&eacut...
ICS
2010
Tsinghua U.
16 years 4 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
FOCS
2004
IEEE
15 years 10 months ago
On the Streaming Model Augmented with a Sorting Primitive
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...
Gagan Aggarwal, Mayur Datar, Sridhar Rajagopalan, ...
ASPLOS
2008
ACM
15 years 8 months ago
No "power" struggles: coordinated multi-level power management for the data center
Power delivery, electricity consumption, and heat management are becoming key challenges in data center environments. Several past solutions have individually evaluated different ...
Ramya Raghavendra, Parthasarathy Ranganathan, Vani...