613 search results - page 21 / 123 » Learning the Structure of Linear Latent Variable Models |
PAMI
2008
13 years 7 months ago
2008
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
ACL
2012
11 years 10 months ago
2012
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...