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» Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem
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PAMI
2012
13 years 1 months ago
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem
Abstract—We consider two desired properties of learning algorithms: sparsity and algorithmic stability. Both properties are believed to lead to good generalization ability. We sh...
Huan Xu, Constantine Caramanis, Shie Mannor
TSP
2008
117views more  TSP 2008»
14 years 10 months ago
A Theory for Sampling Signals From a Union of Subspaces
One of the fundamental assumptions in traditional sampling theorems is that the signals to be sampled come from a single vector space (e.g. bandlimited functions). However, in many...
Yue M. Lu, Minh N. Do