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» Low-Rank Similarity Metric Learning in High Dimensions
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IJON
2010
152views more  IJON 2010»
13 years 7 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
14 years 12 days ago
Index-based Most Similar Trajectory Search
The problem of trajectory similarity in moving object databases is a relatively new topic in the spatial and spatiotemporal database literature. Existing work focuses on the spati...
Elias Frentzos, Kostas Gratsias, Yannis Theodoridi...
ICIP
2003
IEEE
14 years 10 months ago
Fast similarity search on video signatures
Video signatures are compact representations of video sequences designed for efficient similarity measurement. In this paper, we propose a feature extraction technique to support ...
Sen-Ching S. Cheung, Avideh Zakhor
BMCBI
2008
157views more  BMCBI 2008»
13 years 8 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...