730 search results - page 87 / 146 » Faster dimension reduction |
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
ICDAR
2011
IEEE
12 years 8 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
ICDE
2012
IEEE
11 years 11 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...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...