2878 search results - page 261 / 576 » Learning the Common Structure of Data |
192
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TAGT
1998
Springer
15 years 10 months ago
1998
Springer
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
196
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ECML
2001
Springer
15 years 11 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
211
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TIP
2002
15 years 6 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
185
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
172
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MDAI
2005
Springer
16 years 4 days ago
2005
Springer
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...