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CIKM
2003
Springer
15 years 3 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
14 years 11 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
FUZZIEEE
2007
IEEE
15 years 4 months ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
13 years 10 days ago
Approximate String Membership Checking: A Multiple Filter, Optimization-Based Approach
— We consider the approximate string membership checking (ASMC) problem of extracting all the strings or substrings in a document that approximately match some string in a given ...
Chong Sun, Jeffrey F. Naughton, Siddharth Barman
PAMI
2012
13 years 10 days ago
Medial Spheres for Shape Approximation
—We study the problem of approximating a 3D solid with a union of overlapping spheres. In comparison with a stateof-the-art approach, our method offers more than an order of magn...
Svetlana Stolpner, Paul G. Kry, Kaleem Siddiqi