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» A regularization framework for multiple-instance learning
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CVPR
2010
IEEE
13 years 9 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
ICCV
2009
IEEE
15 years 2 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
AIMS
2007
Springer
14 years 3 months ago
Improving Anomaly Detection Event Analysis Using the EventRank Algorithm
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...
Kyrre M. Begnum, Mark Burgess
CORIA
2007
13 years 11 months ago
Apprentissage actif pour l'annotation de documents
ABSTRACT. In the framework of the LegDoc project at Xerox Research Centre Europe, we are developing components for the semantic annotation of semi-structured documents. While certa...
Loïc Lecerf, Boris Chidlovskii
ICIP
2010
IEEE
13 years 7 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...