270 search results - page 10 / 54 » Hierarchical Gaussian process latent variable models |
101
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
99
Voted
NIPS
2001
15 years 1 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
110
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
100
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...