68 search results - page 4 / 14 » Learning Latent Tree Graphical Models |
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...
ICSE
2004
IEEE-ACM
14 years 8 months ago
2004
IEEE-ACM
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
CSB
2003
IEEE
14 years 1 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
TSP
2010
13 years 3 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...