270 search results - page 19 / 54 » Large-Scale Many-Class Learning |
SIAMIS
2011
13 years 4 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
ISNN
2004
Springer
14 years 3 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
JMLR
2012
12 years 8 days ago
2012
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in t...