A New Framework for Semisupervised and Multitask Learning

By:

Nicolas Loeff

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Paperback / softback

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Description

Labeling image collections is a tedious and time consuming task, especially when multiple labels have to be chosen for each image. On the other hand, the explosion of Internet content has provided cheap access to almost unlimited amounts of data, albeit with a lower quality of annotations. This dissertation deals with the problem of automatically annotating images, by introducing a new framework that extends state-of-the-art models in word prediction to incorporate information from two sources, unlabeled examples and correlated labels. This is the first semisupervised multitask model used in vision problems of these characteristics.

Release date Australia

August 22nd, 2011

Author

Nicolas Loeff

Audience

General (US: Trade)

Pages

Dimensions

152x229x6

ISBN-13

9783845409078

Product ID

19398645

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