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DATAMINE
2006
166views more  DATAMINE 2006»
15 years 5 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
SIGKDD
2000
237views more  SIGKDD 2000»
15 years 4 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
AMAI
2002
Springer
15 years 4 months ago
Adaptable Boundary Sets
This paper proposes adaptable boundary sets as a new version-space representation. It is shown that adaptable boundary sets can be adjusted to a version-space representation betwe...
Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. ...
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ACCV
2007
Springer
15 years 6 months ago
Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation
In the scope of level set image segmentation, the number of regions is fixed beforehand. This number occurs as a constant in the objective functional and its optimization. In this...
Ismail Ben Ayed, Amar Mitiche
ALT
2000
Springer
16 years 1 months ago
Learning Recursive Concepts with Anomalies
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
Gunter Grieser, Steffen Lange, Thomas Zeugmann