523 search results - page 2 / 105 » Hierarchical Mixture Models for Nested Data Structures |
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
CIVR
2006
Springer
13 years 9 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...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
KDD
2007
ACM
13 years 11 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...