79 search results - page 2 / 16 » Projected Subgradient Methods for Learning Sparse Gaussians |
JMLR
2010
13 years 23 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...
KDD
2009
ACM
14 years 23 days ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...