165 search results - page 26 / 33 » Adaptive dimension reduction for clustering high dimensional... |
SIAMJO
2010
14 years 6 months ago
2010
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
103
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
IDEAL
2010
Springer
14 years 9 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
125
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BMCBI
2002
14 years 11 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
ICMLA
2007
15 years 1 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...