9494 search results - page 489 / 1899 » Gaussian Process Networks |
248
Voted
ECCV
2004
Springer
16 years 7 months ago
2004
Springer
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
150
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DAC
2005
ACM
16 years 7 months ago
2005
ACM
Recent study shows that the existing first order canonical timing model is not sufficient to represent the dependency of the gate delay on the variation sources when processing an...
163
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
162
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
155
Voted
ISBI
2002
IEEE
16 years 7 months ago
2002
IEEE
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...