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» Sampling and Reconstruction of Operators
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CVPR
2008
IEEE
14 years 10 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
CVPR
2008
IEEE
14 years 10 months ago
Skeletal graphs for efficient structure from motion
We address the problem of efficient structure from motion for large, unordered, highly redundant, and irregularly sampled photo collections, such as those found on Internet photo-...
Noah Snavely, Steven M. Seitz, Richard Szeliski
ICANN
2009
Springer
14 years 2 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
JMLR
2006
103views more  JMLR 2006»
13 years 7 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
JCAM
2011
78views more  JCAM 2011»
12 years 10 months ago
Symmetric box-splines on root lattices
Root lattices are efficient sampling lattices for reconstructing isotropic signals in arbitrary dimensions, due to their highly symmetric structure. One root lattice, the Cartesia...
Minho Kim, Jörg Peters