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» On k-Anonymity and the Curse of Dimensionality
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DASFAA
2007
IEEE
194views Database» more  DASFAA 2007»
14 years 11 months ago
Telescope: Zooming to Interesting Skylines
As data of an unprecedented scale are becoming accessible, skyline queries have been actively studied lately, to retrieve “interesting” data objects that are not dominated by a...
Jongwuk Lee, Gae-won You, Seung-won Hwang
ICASSP
2009
IEEE
15 years 4 months ago
An information geometric approach to supervised dimensionality reduction
Due to the curse of dimensionality, high-dimensional data is often pre-processed with some form of dimensionality reduction for the classification task. Many common methods of su...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
JCIT
2010
190views more  JCIT 2010»
14 years 4 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
AAAI
2012
12 years 11 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
CVPR
2005
IEEE
15 years 11 months ago
Concurrent Subspaces Analysis
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang...