2878 search results - page 300 / 576 » Learning the Common Structure of Data |
184
click to vote
CIVR
2006
Springer
15 years 10 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
165
click to vote
AAAI
2008
15 years 9 months ago
2008
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
201
click to vote
CVPR
2008
IEEE
15 years 8 months ago
2008
IEEE
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
197
click to vote
TNN
2010
15 years 1 months ago
2010
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
179
click to vote
CORR
2006
Springer
15 years 6 months ago
2006
Springer
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...