7150 search results - page 987 / 1430 » Graph-Based Data Mining |
126
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ICDM
2007
IEEE
15 years 11 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...
132
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ICDM
2007
IEEE
15 years 11 months ago
2007
IEEE
Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
130
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ICDM
2007
IEEE
15 years 11 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
121
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ICDM
2006
IEEE
15 years 11 months ago
2006
IEEE
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
151
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ICDM
2006
IEEE
15 years 11 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...