63 search results - page 5 / 13 » Principal component analysis in decomposable Gaussian graphi... |
ICMCS
2005
IEEE
14 years 18 days ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
NIPS
1998
13 years 8 months ago
1998
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...