Gaussian Processes for Object Categorization
Gaussian Processes for Object Categorization
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Author / Creator
Publisher
Boston: Springer US
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Language
English
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Publisher
Boston: Springer US
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Scope and Contents
Contents
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gaussian Processes (GPs) provide a framework for deriving regression techniques with explicit uncertainty models; we show here how Gaussian Processes with covariance functions...
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Full title
Gaussian Processes for Object Categorization
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Record Identifier
TN_cdi_proquest_miscellaneous_907934896
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_907934896
Other Identifiers
ISSN
0920-5691
E-ISSN
1573-1405
DOI
10.1007/s11263-009-0268-3
