3096 search results - page 178 / 620 » Theory and Use of the EM Algorithm |
170
click to vote
ICA
2010
Springer
15 years 6 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
154
click to vote
CIKM
2010
Springer
15 years 3 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
127
click to vote
COMGEO
1999
ACM
15 years 4 months ago
1999
ACM
Many algorithms for reducing the number of triangles in a surface model have been proposed, but to date there has been little theoretical analysis of the approximations they produ...
145
click to vote
AAAI
2008
15 years 7 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
163
click to vote
CVPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...