3677 search results - page 386 / 736 » Is a probabilistic modeling |
215
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JMLR
2010
15 years 1 months ago
2010
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
169
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JMLR
2010
15 years 1 months ago
2010
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
172
Voted
ATAL
2006
Springer
15 years 10 months ago
2006
Springer
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
198
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AE
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
183
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PERCOM
2006
ACM
16 years 6 months ago
2006
ACM
Pervasive devices interacting in open and dynamic spaces with each others require a mechanism that allows them acting autonomously in a secure way and protecting their resources. ...