922 search results - page 128 / 185 » Learning Gaussian Process Models from Uncertain Data |
105
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
141
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
108
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ICDCS
2007
IEEE
15 years 8 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
157
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NLPRS
2001
Springer
15 years 7 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
127
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AAAI
2010
15 years 2 months ago
2010
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...