1825 search results - page 82 / 365 » Local Dimensionality Reduction |
CIKM
2008
Springer
14 years 12 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
NIPS
2004
14 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
SC
2004
ACM
15 years 3 months ago
2004
ACM
Texture analysis is one possible method to detect features in biomedical images. During texture analysis, texture related information is found by examining local variations in ima...
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PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...