76 search results - page 7 / 16 » Discovering Dynamics Using Bayesian Clustering |
IDA
2003
Springer
15 years 2 months ago
2003
Springer
The recent developments in computer and communication technologies gave rise to Personal Communication Systems. Due to the nature of the PCS, the bandwidth allocation problem arise...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
159
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VLDB
2007
ACM
15 years 9 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
CVIU
2008
14 years 9 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
86
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...