1950 search results - page 301 / 390 » Informative sampling for large unbalanced data sets |
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
103
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IDA
2003
Springer
15 years 6 months ago
2003
Springer
Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpr...
111
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IVS
2010
14 years 8 months ago
2010
Scatter Plots are one of the most powerful and most widely used techniques for visual data exploration. A well-known problem is that scatter plots often have a high degree of overl...
127
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NIPS
2004
15 years 3 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
133
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ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...