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      Semi-supervised learning by disagreement

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      Knowledge and Information Systems

      Springer Nature

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          Most cited references 33

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          Canonical correlation analysis: an overview with application to learning methods.

          We present a general method using kernel canonical correlation analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments, we look at two approaches of retrieving images based on only their content from a text query. We compare orthogonalization approaches against a standard cross-representation retrieval technique known as the generalized vector space model.
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            Combining labeled and unlabeled data with co-training

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              Query by committee

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                Author and article information

                Journal
                Knowledge and Information Systems
                Knowl Inf Syst
                Springer Nature
                0219-1377
                0219-3116
                September 2010
                May 2009
                : 24
                : 3
                : 415-439
                Article
                10.1007/s10115-009-0209-z
                © 2010
                Product

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