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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
CC
2009
Springer
16 years 4 days ago
Scheduling Tasks to Maximize Usage of Aggregate Variables in Place
Single-assignment languages with copy semantics have a very simple and approachable programming model. A na¨ıve implementation of the copy semantics that copies the result of eve...
Samah Abu-Mahmeed, Cheryl McCosh, Zoran Budimlic, ...
180
Voted
INFOCOM
2006
IEEE
16 years 1 months ago
Flow Scheduling for End-Host Multihoming
Abstract— Fueled by the competing DSL and Cable technologies, residential broadband access has seen a significant spread in availability to the point that many users have a choi...
Nathanael Thompson, Guanghui He, Haiyun Luo
188
Voted
ECCV
2004
Springer
16 years 9 months ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari
196
Voted
ICPR
2008
IEEE
16 years 8 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang