825 search results - page 45 / 165 » Learning Parts-Based Representations of Data |
111
click to vote
SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
103
click to vote
UAI
1997
15 years 1 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
112
click to vote
ICGI
1998
Springer
15 years 4 months ago
1998
Springer
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
117
click to vote
KDD
2009
ACM
16 years 11 days ago
2009
ACM
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
110
click to vote
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...