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PKDD
2010
Springer
13 years 6 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
MM
2006
ACM
14 years 2 months ago
2006
ACM
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
ECML
1993
Springer
14 years 22 days ago
1993
Springer
ICML
1994
IEEE
14 years 4 days ago
1994
IEEE
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...