843 search results - page 8 / 169 » Learning aspect models with partially labeled data |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
KES
2004
Springer
14 years 22 days ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
JMLR
2010
13 years 2 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
DEXA
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. In this paper we propose the Graphical sEmistructured teMporal data model (GEM), which is based on labeled graphs and allows one to represent in a uniform way semistructu...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...