Sciweavers

220 search results - page 14 / 44
» SMOS L1 algorithms
Sort
View
138
Voted
TIP
2010
162views more  TIP 2010»
14 years 10 months ago
Super-Resolution With Sparse Mixing Estimators
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
Stéphane Mallat, Guoshen Yu
215
Voted
ORL
2011
14 years 10 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
138
Voted
PPAM
2005
Springer
15 years 9 months ago
A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
Pavel Tvrdík, Ivan Simecek
COMPGEOM
2006
ACM
15 years 9 months ago
How to get close to the median shape
In this paper, we study the problem of L1-fitting a shape to a set of point, where the target is to minimize the sum of distances of the points to the shape, or alternatively the...
Sariel Har-Peled
WADS
2005
Springer
132views Algorithms» more  WADS 2005»
15 years 9 months ago
Communication-Aware Processor Allocation for Supercomputers
Abstract. We give processor-allocation algorithms for grid architectures, where the objective is to select processors from a set of available processors to minimize the average num...
Michael A. Bender, David P. Bunde, Erik D. Demaine...