35 search results - page 2 / 7 » Accelerated Gradient Method for Multi-task Sparse Learning P... |
CORR
2012
Springer
12 years 1 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
JMLR
2010
13 years 17 days ago
2010
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
PARA
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
CVPR
2010
IEEE
13 years 3 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...