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IJON
2010
121views more  IJON 2010»
13 years 5 months ago
Sample-dependent graph construction with application to dimensionality reduction
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Bo Yang, Songcan Chen
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
14 years 9 months ago
Space-Constrained Gram-Based Indexing for Efficient Approximate String Search
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...
Alexander Behm, Shengyue Ji, Chen Li, Jiaheng Lu
WWW
2010
ACM
14 years 2 months ago
Scalable discovery of contradictions on the web
Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem,...
Mikalai Tsytsarau, Themis Palpanas, Kerstin Deneck...
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
14 years 2 months ago
Parallel Distributed Processing of Constrained Skyline Queries by Filtering
— Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized...
Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei ...
ICCV
2007
IEEE
14 years 2 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang