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» Solving Sparse Linear Constraints
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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 3 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
134
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ICAPR
2005
Springer
15 years 8 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama
CVPR
2001
IEEE
16 years 5 months ago
Combining Two-view Constraints For Motion Estimation
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
Venu Madhav Govindu
126
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Gradient Polytope Faces Pursuit for large scale sparse recovery problems
Polytope Faces Pursuit is a greedy algorithm that performs Basis Pursuit with similar order complexity to Orthogonal Matching Pursuit. The algorithm adds one basis vector at a tim...
Aris Gretsistas, Ivan Damnjanovic, Mark D. Plumble...
94
Voted
CORR
2010
Springer
84views Education» more  CORR 2010»
15 years 3 months ago
Left-Inverses of Fractional Laplacian and Sparse Stochastic Processes
The fractional Laplacian (-)/2 commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, ...
Qiyu Sun, Michael Unser