273 search results - page 41 / 55 » Learning the Structure of Deep Sparse Graphical Models |
KDD
2009
ACM
14 years 1 days ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
DAGM
2004
Springer
14 years 26 days ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...