692 search results - page 97 / 139 » Hierarchical exploration of large multivariate data sets |
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
IPPS
2003
IEEE
14 years 1 months ago
2003
IEEE
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
JBI
2008
13 years 8 months ago
2008
The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible w...
AUTOMATICA
2010
13 years 8 months ago
2010
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
MTA
2010
13 years 7 months ago
2010
In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...