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» Computing with abstract matrix structures
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CVPR
2005
IEEE
15 years 1 months ago
Articulated Structure from Motion by Factorization
Multibody affine Structure From Motion (SFM) methods commonly assume independent motion between objects such that the ‘measurement matrix’ has rank 4k. When multiple views ar...
Philip A. Tresadern, Ian D. Reid
JMLR
2010
147views more  JMLR 2010»
14 years 6 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
ICCV
2011
IEEE
13 years 12 months ago
Kernel Non-Rigid Structure from Motion
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
Paulo F. U. Gotardo, Aleix M. Martinez
DIS
2006
Springer
15 years 3 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
PLDI
2004
ACM
15 years 5 months ago
Kill-safe synchronization abstractions
e Synchronization Abstractions “Well, it just so happens that your friend here is only mostly dead. There’s a big difference between mostly dead and all dead.” – Miracle Ma...
Matthew Flatt, Robert Bruce Findler