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» Genetic Algorithms for Component Analysis
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CVPR
2003
IEEE
16 years 5 months ago
Constrained Subspace Modelling
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
Jaco Vermaak, Patrick Pérez
196
Voted
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
16 years 3 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
113
Voted
DOCENG
2003
ACM
15 years 8 months ago
Creating reusable well-structured PDF as a sequence of component object graphic (COG) elements
Portable Document Format (PDF) is a page-oriented, graphically rich format based on PostScript semantics and it is also the format interpreted by the Adobe Acrobat viewers. Althou...
Steven R. Bagley, David F. Brailsford, Matthew R. ...
134
Voted
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
15 years 8 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
134
Voted
CIKM
2010
Springer
15 years 2 months ago
Ranking related entities: components and analyses
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
Marc Bron, Krisztian Balog, Maarten de Rijke