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» Solving Sparse Linear Constraints
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ICIP
2010
IEEE
14 years 8 months ago
Single image deblurring with adaptive dictionary learning
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang
91
Voted
CPAIOR
2007
Springer
15 years 5 months ago
A Column Generation Based Destructive Lower Bound for Resource Constrained Project Scheduling Problems
In this paper we present a destructive lower bound for a number of resource constrained project scheduling (RCPS) problems, which is based on column generation. We first look at t...
J. M. van den Akker, Guido Diepen, J. A. Hoogeveen
80
Voted
CCO
2001
Springer
157views Combinatorics» more  CCO 2001»
15 years 3 months ago
Lagrangian Relaxation
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a minimization problem. We propose a modified Lagrangian relaxation which used i...
Claude Lemaréchal
73
Voted
WSC
2001
15 years 8 days ago
Chessboard distributions
We review chessboard distributions for modeling partially specified finite-dimensional random vectors. Chessboard distributions can match a given set of marginals, a given covaria...
Soumyadip Ghosh, Shane G. Henderson
93
Voted
CORR
2002
Springer
133views Education» more  CORR 2002»
14 years 10 months ago
Sequential and Parallel Algorithms for Mixed Packing and Covering
We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...
Neal E. Young