63 search results - page 13 / 13 » Recovery of sparse perturbations in Least Squares problems |
JMLR
2010
13 years 8 days ago
2010
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
NIPS
2004
13 years 6 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
FOCM
2002
13 years 5 months ago
2002
This paper is concerned with the design and analysis of adaptive wavelet methods for systems of operator equations. Its main accomplishment is to extend the range of applicability...