396 search results - page 16 / 80 » Lossy Reduction for Very High Dimensional Data |
SIGMOD
2001
ACM
15 years 9 months ago
2001
ACM
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
UAI
2000
14 years 10 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
TKDE
2008
14 years 9 months ago
2008
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
IJCAI
2007
14 years 11 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
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ICDE
2012
IEEE
12 years 12 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...