59 search results - page 10 / 12 » Latent Variable Models for Semantic Orientations of Phrases |
UAI
1997
13 years 7 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
SIGIR
2004
ACM
13 years 11 months ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
NIPS
2008
13 years 7 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...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
: Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
ICCV
2007
IEEE
14 years 18 days ago
2007
IEEE
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...