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» Strong Bounds Consistencies and Their Application to Linear ...
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134
Voted
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 19 days ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
CORR
2010
Springer
162views Education» more  CORR 2010»
14 years 11 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
78
Voted
EOR
2007
87views more  EOR 2007»
15 years 12 days ago
The TV-Break Packing Problem
Instead of selling advertisement spots one by one, some French satellite channels decided in 2002 to modify their commercial offer in order to sell packages of spots. These new g...
Thierry Benoist, Eric Bourreau, Benoît Rotte...
82
Voted
CORR
2010
Springer
70views Education» more  CORR 2010»
15 years 17 days ago
Structured sparsity-inducing norms through submodular functions
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Francis Bach
81
Voted
MP
2007
76views more  MP 2007»
14 years 12 months ago
Universal duality in conic convex optimization
Given a primal-dual pair of linear programs, it is well known that if their optimal values are viewed as lying on the extended real line, then the duality gap is zero, unless both...
Simon P. Schurr, André L. Tits, Dianne P. O...