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JMLR
2012
11 years 10 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
AAAI
2006
13 years 9 months ago
Preferences over Sets
Research on preference elicitation and reasoning typically focuses on preferences over single objects of interest. However, in a number of applications the "outcomes" of...
Ronen I. Brafman, Carmel Domshlak, Solomon Eyal Sh...
JGO
2011
83views more  JGO 2011»
13 years 2 months ago
Application of convex lexicographical optimization to the balance of GRTgaz gas grid
Shippers are daily users of the French gas grid. Differences between planned and effective gas demand unbalance the grid. To restore the balance, GRTgaz computes every day amoun...
Soizic Adam, J. Frédéric Bonnans, Ru...

Publication
700views
15 years 4 months ago
Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]
"The purpose of this paper is to introduce and study the most basic properties of three new variational problems which are suggested by applications to computer vision. In com...
David Mumford and Jayant Shah
IEEEPACT
2002
IEEE
14 years 16 days ago
Optimizing Loop Performance for Clustered VLIW Architectures
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
Yi Qian, Steve Carr, Philip H. Sweany