38 search results - page 6 / 8 » Relevant subtask learning by constrained mixture models |
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
IJCAI
2007
13 years 9 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
ICASSP
2009
IEEE
14 years 2 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...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...