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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 3 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
103
Voted
IPPS
2008
IEEE
15 years 10 months ago
Optimal spot-checking to minimize the computation time in volunteer computing
This paper proposes an optimization technique for spotchecking to minimize the computation time of volunteer computing (VC) systems with malicious participants who return erroneou...
Kan Watanabe, Masaru Fukushi, Susumu Horiguchi
IROS
2007
IEEE
104views Robotics» more  IROS 2007»
15 years 9 months ago
Energy-field reconstruction for haptic-based molecular docking using energy minimization processes
— This paper presents a new method allowing haptic feedback in molecular docking simulations using a minimization process. These simulations, classically used by the pharmaceutic...
Bruno Daunay, Alain Micaelli, Stephane Régn...
ASPDAC
2004
ACM
107views Hardware» more  ASPDAC 2004»
15 years 9 months ago
Minimization of the expected path length in BDDs based on local changes
— In many verification tools methods for functional simulation based on reduced ordered Binary Decision Diagrams (BDDs) are used. The evaluation time for a BDD can be crucial an...
Rüdiger Ebendt, Wolfgang Günther, Rolf D...
121
Voted
CVPR
2010
IEEE
15 years 9 months ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao