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» Similarity-Based Data reduction Techniques
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ISQED
2005
IEEE
84views Hardware» more  ISQED 2005»
14 years 2 months ago
Performance Driven OPC for Mask Cost Reduction
With continued aggressive process scaling in the subwavelength lithographic regime, resolution enhancement techniques (RETs) such as optical proximity correction (OPC) are an inte...
Puneet Gupta, Andrew B. Kahng, Dennis Sylvester, J...
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
14 years 9 months ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 9 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
ECCV
2006
Springer
14 years 10 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee
ICDE
2008
IEEE
155views Database» more  ICDE 2008»
14 years 10 months ago
Lattice Histograms: a Resilient Synopsis Structure
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
Panagiotis Karras, Nikos Mamoulis