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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 6 months 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
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 9 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
163
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INFOCOM
2000
IEEE
15 years 10 months ago
QoS Routing with Performance-Dependent Costs
Abstract—We study a network model in which each network link is associated with a set of delays and costs. These costs are a function of the delays and reflect the prices paid i...
Funda Ergün, Rakesh K. Sinha, Lisa Zhang
ICIP
2006
IEEE
16 years 7 months ago
Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...
Mala L. Radhakrishnan, Sara L. Su
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales