33 search results - page 4 / 7 » A framework for ontology-driven subspace clustering |
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
ICCS
2007
Springer
14 years 1 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...