33 search results - page 5 / 7 » Structured Sparsity with Group-Graph Regularization |
99
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
131
click to vote
JMLR
2012
13 years 26 days ago
2012
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
141
click to vote
CVPR
2012
IEEE
13 years 26 days ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
86
Voted
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
CORR
2011
Springer
14 years 5 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...