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We introduce a learning framework called learning using privileged information (LUPI) to the computer vision field.
Multiple-instance learning for natural scene classification
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The nature of statistical learning theory
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Visual categorization with bags of keypoints
Chris Dance, Jutta Willamowski, Lixin Fan, Cedric Bray, and Gabriela Csurka · 2004
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Early versus late fusion in semantic video analysis
Cees GM Snoek, Marcel Worring, and Arnold WM Smeulders · 2005
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Training a support vector machine in the primal
Olivier Chapelle · 2007
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Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
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Multi-modal clustering for multimedia collections
Ron Bekkerman and Jiwoon Jeon · 2007
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Correlational spectral clustering
Matthew B. Blaschko and Christoph H. Lampert · 2008
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Multi-view learning in the presence of view disagreement
C Mario Christoudias, Raquel Urtasun, and Trevor Darrell · 2008
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LIBLINEAR: A library for large linear classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin · 2008
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Speeded-up robust features (SURF)
Herbert Bay, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool · 2008
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A new learning paradigm: Learning using privileged information
Vladimir Vapnik and Akshay Vashist · 2009
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Multiple kernels for object detection
Andrea Vedaldi, Varun Gulshan, Manik Varma, and Andrew Zisserman · 2009
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On feature combination for multiclass object classification
Peter Gehler and Sebastian Nowozin · 2009
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Online learning of robust object detectors during unstable tracking
Zdenek Kalal, Jiri Matas, and Krystian Mikolajczyk · 2009
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Learning to detect unseen object classes by between-class attribute transfer
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
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Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David A. Forsyth · 2009
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The Pascal VOC challenge
Mark Everingham, Luc J. Van Gool, Christopher K. I. Williams, John M. Winn, and Andrew Zisserman · 2010
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A discriminative latent model of object classes and attributes
Yang Wang and Greg Mori · 2010
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On the theory of learning with privileged information
Dmitry Pechyony and Vladimir Vapnik · 2010
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Object-centric spatial pooling for image classification
Olga Russakovsky, Yuanqing Lin, Kai Yu, and Li Fei-Fei · 2012
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Augmented attribute representations
Viktoriia Sharmanska, Novi Quadrianto, and Christoph H Lampert · 2012
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Learning to rank using privileged information
Viktoriia Sharmanska, Novi Quadrianto, and Christoph H. Lampert · 2013
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Privileged information-based conditional regression forest for facial feature detection
Heng Yang and Ioannis Patras · 2013
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Boosting with side information
Jixu Chen, Xiaoming Liu, and Siwei Lyu · 2013
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Incorporating privileged information through metric learning
Shereen Fouad, Peter Tino, Somak Raychaudhury, and Petra Schneider · 2013
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Improving the Fisher kernel for large-scale image classification
Florent Perronnin, Jorge Sánchez, and Thomas Mensink · 2010
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Automatic attribute discovery and characterization from noisy web data
Tamara L. Berg, Alexander C. Berg, and Jonathan Shih · 2010
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Multitask learning without label correspondences
Novi Quadrianto, James Petterson, Tiberio S Caetano, Alex J Smola, and Svn Vishwanathan · 2010
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Clues from the beaten path: Location estimation with bursty sequences of tourist photos
Chao-Yeh Chen and Kristen Grauman · 2011
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Learning multi-view neighborhood preserving projections
Novi Quadrianto and Christoph H. Lampert · 2011
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Annotator rationales for visual recognition
Jeff Donahue and Kristen Grauman · 2011
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Attribute-based classification for zero-shot visual object categorization
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling · 2013
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The supervised ibp: Neighbourhood preserving infinite latent feature models, 2013
Novi Quadrianto, Viktoriia Sharmanska, David A Knowles, and Zoubin Ghahramani · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Beyond dataset bias: Multi-task unaligned shared knowledge transfer
Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, and Christoph H Lampert · 2013
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Learning to count with back-propagated information
Ke Chen and Joni-Kristian Kämäräinen · 2014
Closest in time.
CoConut: Co-classification with output space regularization
Sameh Khamis and Christoph H. Lampert · 2014
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Mind the nuisance: Gaussian process classification using privileged noise, 2014
Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, and Novi Quadrianto · 2014
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Learning using privileged information: SVM+ and weighted SVM
Maksim Lapin, Matthias Hein, and Bernt Schiele · 2014
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