712 search results - page 7 / 143 » A mixture model for random graphs |
CIVR
2006
Springer
14 years 2 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
INFORMATICALT
2000
13 years 10 months ago
2000
Abstract. Influence of projection pursuit on classification errors and estimates of a posteriori probabilities from the sample is considered. Observed random variable is supposed t...
CVPR
2008
IEEE
15 years 11 days 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...
FOCS
2007
IEEE
14 years 4 months ago
2007
IEEE
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Sever...
DIALM
2008
ACM
14 years 4 days ago
2008
ACM
A random geometric graph G(n, r) is a graph resulting from placing n points uniformly at random on the unit area disk, and connecting two points iff their Euclidean distance is at ...