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» On k-Anonymity and the Curse of Dimensionality
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ICDE
2007
IEEE
228views Database» more  ICDE 2007»
15 years 3 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
15 years 3 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet
ISM
2006
IEEE
174views Multimedia» more  ISM 2006»
15 years 3 months ago
Fast Similarity Search for High-Dimensional Dataset
This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognit...
Quan Wang, Suya You
104
Voted
DEXAW
1999
IEEE
168views Database» more  DEXAW 1999»
15 years 1 months ago
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
Paolo Ciaccia, Marco Patella
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 2 months ago
A Genetic Approach for Gene Selection on Microarray Expression Data
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon