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» EM in High Dimensional Spaces
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DASFAA
2004
IEEE
87views Database» more  DASFAA 2004»
15 years 2 months ago
UB-Tree Based Efficient Predicate Index with Dimension Transform for Pub/Sub System
For event filtering of publish/subscribe system, significant research efforts have been dedicated to techniques based on multiple one-dimensional indexes built on attributes of sub...
Botao Wang, Wang Zhang, Masaru Kitsuregawa
ESWA
2007
151views more  ESWA 2007»
14 years 11 months ago
A novel feature selection algorithm for text categorization
With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin ...
PR
2008
129views more  PR 2008»
14 years 11 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
CVPR
2006
IEEE
16 years 29 days ago
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
Several kernel algorithms have recently been proposed for nonlinear discriminant analysis. However, these methods mainly address the singularity problem in the high dimensional fe...
Tao Xiong, Jieping Ye, Vladimir Cherkassky
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 5 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan