102 search results - page 6 / 21 » Efficiently Learning Mixtures of Two Gaussians |
117
click to vote
TCSV
2008
14 years 11 months ago
2008
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
91
Voted
TCSV
2008
14 years 11 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
107
click to vote
PAMI
2008
14 years 11 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
95
Voted
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
120
Voted
FLAIRS
2009
14 years 9 months ago
2009
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...