5209 search results - page 262 / 1042 » Multiobjective Data Clustering |
142
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
128
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
137
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NIPS
2000
15 years 5 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...
175
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SCHOLARPEDIA
2008
15 years 2 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...
156
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ANNPR
2008
Springer
15 years 6 months ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...