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» Active Mining in a Distributed Setting
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106
Voted
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
15 years 2 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
SAC
2010
ACM
15 years 7 months ago
Checking concurrent contracts with aspects
The applicability of aspects as a means of implementing runtime contract checking has been demonstrated in prior work, where contracts are identified as cross-cutting concerns [1...
Eric Kerfoot, Steve McKeever
100
Voted
ESANN
2004
15 years 1 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 6 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
118
Voted
CVPR
2007
IEEE
16 years 2 months ago
Segmenting Images on the Tensor Manifold
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
Yogesh Rathi, Allen Tannenbaum, Oleg V. Michailovi...