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» Solving Sparse Linear Constraints
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123
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SIAMSC
2010
158views more  SIAMSC 2010»
14 years 11 months ago
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be im...
Michael K. Ng, Pierre Weiss, Xiaoming Yuan
NETWORKS
2008
15 years 13 days ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth
103
Voted
ICONIP
2007
15 years 1 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
99
Voted
ICRA
2003
IEEE
225views Robotics» more  ICRA 2003»
15 years 5 months ago
Post-stabilization for rigid body simulation with contact and constraints
— Rigid body dynamics with contact constraints can be solved locally using linear complementarity techniques. However, these techniques do not impose the original constraints and...
Michael B. Cline, Dinesh K. Pai
ICCV
2011
IEEE
14 years 15 days ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang