1716 search results - page 182 / 344 » Generating models for temporal representations |
156
Voted
NN
1997
Springer
15 years 10 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
189
Voted
UAI
2004
15 years 7 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
147
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NIPS
2004
15 years 7 months ago
2004
Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
219
Voted
WOSP
1998
ACM
15 years 10 months ago
1998
ACM
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...
171
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CVPR
1999
IEEE
16 years 8 months ago
1999
IEEE
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...