298 search results - page 45 / 60 » Subspace Clustering of High Dimensional Data |
129
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
102
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BMCBI
2005
15 years 10 days ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
NIPS
2000
15 years 1 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
131
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SCHOLARPEDIA
2008
14 years 11 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...