613 search results - page 49 / 123 » Learning the Structure of Linear Latent Variable Models |
ECML
2007
Springer
14 years 3 months ago
2007
Springer
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
AINA
2008
IEEE
14 years 3 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
IJCAI
2001
13 years 10 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
ML
2012
ACM
12 years 4 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...