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» Mining Several Data Bases with an Ensemble of Classifiers
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VLSISP
2010
254views more  VLSISP 2010»
13 years 6 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
ECAI
2006
Springer
13 years 11 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 7 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
DAWAK
2010
Springer
13 years 8 months ago
Region of Interest Based Image Categorization
Region Of Interest Based Image Classification (ROIBIC) is a mechanism for categorising images according to some specific component or object that features across a given image set....
Ashraf Elsayed, Frans Coenen, Marta García-...
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 8 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel