297 search results - page 42 / 60 » Topologically-constrained latent variable models |
ML
2012
ACM
12 years 5 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
ECCV
2000
Springer
14 years 11 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
ACML
2009
Springer
14 years 4 months ago
2009
Springer
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
AAAI
2012
12 years 6 days ago
2012
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...