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CORR
2010
Springer
100views Education» more  CORR 2010»
14 years 9 months ago
Convex Relaxations for Subset Selection
We use convex relaxation techniques to produce lower bounds on the optimal value of subset selection problems and generate good approximate solutions. We then explicitly bound the...
Francis Bach, Selin Damla Ahipasaoglu, Alexandre d...
COLT
2010
Springer
14 years 7 months ago
Sparse Recovery in Convex Hulls of Infinite Dictionaries
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S
Vladimir Koltchinskii, Stas Minsker
99
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ECCV
2010
Springer
15 years 2 days ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
IVC
2002
112views more  IVC 2002»
14 years 9 months ago
Using distance transforms to decompose 3D discrete objects
Object decomposition into simpler parts greatly diminishes the complexity of a recognition task. In this paper, we present a method to decompose a 3D discrete object into nearly c...
Stina Svensson, Gabriella Sanniti di Baja
CMA
2010
183views more  CMA 2010»
14 years 7 months ago
Improved Adomian decomposition method
: The Adomian Decomposition Method (ADM) shows a very good ability in dealing with nonlinear differential equations but it is still have some drawbacks. In this paper, it is shown ...
Tamer A. Abassy