405 search results - page 54 / 81 » Bayesian Gaussian Process Latent Variable Model |
82
Voted
PERVASIVE
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
NIPS
2008
14 years 11 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
90
Voted
MLMI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
76
Voted
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...