A New Framework for Semisupervised and Multitask Learning: with applications to image annotation - Couverture souple

Loeff, Nicolas

 
9783845409078: A New Framework for Semisupervised and Multitask Learning: with applications to image annotation

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

Nicolas Loeff received a Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign. His research interests include machine learning, computer vision and computational finance.

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Autres éditions populaires du même titre

9781243697776: A New Framework for Semisupervised

Edition présentée

ISBN 10 :  1243697776 ISBN 13 :  9781243697776
Editeur : Proquest, Umi Dissertation Publi..., 2011
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