4773 search results - page 780 / 955 » Learning from Uncertain Data |
214
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AAAI
2012
13 years 8 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
184
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CVPR
1999
IEEE
16 years 8 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
159
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
189
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
274
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ICDE
2000
IEEE
16 years 7 months ago
2000
IEEE
Although there has been much written about various information integration technologies, little has been said regarding how to combine these technologies together to build an enti...