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CORR
2008
Springer
151views Education» more  CORR 2008»
13 years 9 months ago
Exact Matrix Completion via Convex Optimization
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at ran...
Emmanuel J. Candès, Benjamin Recht
ICIP
2010
IEEE
13 years 6 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
SIGECOM
2004
ACM
112views ECommerce» more  SIGECOM 2004»
14 years 2 months ago
Self-interested automated mechanism design and implications for optimal combinatorial auctions
Often, an outcome must be chosen on the basis of the preferences reported by a group of agents. The key difficulty is that the agents may report their preferences insincerely to m...
Vincent Conitzer, Tuomas Sandholm
CORR
2010
Springer
142views Education» more  CORR 2010»
13 years 9 months ago
Integrality Gaps of Linear and Semi-definite Programming Relaxations for Knapsack
Recent years have seen an explosion of interest in lift and project methods, such as those proposed by Lov
Anna R. Karlin, Claire Mathieu, C. Thach Nguyen
DATAMINE
1998
175views more  DATAMINE 1998»
13 years 8 months ago
A Microeconomic View of Data Mining
We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations and clustering, in terms of their utility in decisionmaking. Thi...
Jon M. Kleinberg, Christos H. Papadimitriou, Prabh...