581 search results - page 68 / 117 » EM in High Dimensional Spaces |
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CGF
2010
14 years 7 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
ICCAD
2006
IEEE
15 years 8 months ago
2006
IEEE
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
MM
2005
ACM
15 years 4 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
GRC
2010
IEEE
15 years 3 days ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
117
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HPDC
2010
IEEE
15 years 3 days ago
2010
IEEE
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...