1013 search results - page 79 / 203 » The Bayesian inference of phase |
138
Voted
NIPS
2007
15 years 5 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
159
Voted
UAI
2003
15 years 5 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
147
Voted
JMLR
2010
14 years 10 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
219
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Handshape is a key linguistic component of signs, and thus, handshape recognition is essential to algorithms for sign language recognition and retrieval. In this work, linguistic ...
134
Voted
ICDE
2011
IEEE
14 years 7 months ago
2011
IEEE
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...