1183 search results - page 75 / 237 » Learning Process Models with Missing Data |
147
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BMCBI
2010
15 years 1 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
111
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PAMI
2006
15 years 1 months ago
2006
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
123
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
123
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EACL
2006
ACL Anthology
15 years 2 months ago
2006
ACL Anthology
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...
141
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TIP
2008
15 years 1 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...