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@article{bb128664,
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@article{bb128666,
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@article{bb128668,
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Limited Training Samples",
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@article{bb128669,
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Multispectral Image Classification",
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@article{bb128670,
        AUTHOR = "Paoli, A. and Melgani, F. and Pasolli, E.",
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Swarm Optimization",
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@article{bb128671,
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@inproceedings{bb128672,
        AUTHOR = "Orabona, F. and Castellini, C. and Caputo, B. and Jie, L. and Sandini, G.",
        TITLE = "Indoor Place Recognition using Online Independent Support Vector
Machines",
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@inproceedings{bb128673,
        AUTHOR = "Jie, L. and Orabona, F. and Fornoni, M. and Caputo, B. and Cesa Bianchi, N.",
        TITLE = "OM-2: An online multi-class Multi-Kernel Learning algorithm",
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@inproceedings{bb128674,
        AUTHOR = "Orabona, F. and Jie, L. and Caputo, B.",
        TITLE = "Online-batch strongly convex Multi Kernel Learning",
        BOOKTITLE = CVPR10,
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@inproceedings{bb128675,
        AUTHOR = "Jie, L. and Orabona, F. and Caputo, B.",
        TITLE = "An Online Framework for Learning Novel Concepts over Multiple Cues",
        BOOKTITLE = ACCV09,
        YEAR = "2009",
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@article{bb128676,
        AUTHOR = "Tommasi, T. and Orabona, F. and Caputo, B.",
        TITLE = "Learning Categories From Few Examples With Multi Model Knowledge
Transfer",
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@inproceedings{bb128677,
        AUTHOR = "Tommasi, T. and Orabona, F. and Caputo, B.",
        TITLE = "Safety in numbers:
Learning categories from few examples with multi model knowledge transfer",
        BOOKTITLE = CVPR10,
        YEAR = "2010",
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@inproceedings{bb128678,
        AUTHOR = "Tommasi, T. and Caputo, B.",
        TITLE = "The more you know, the less you learn: from knowledge transfer to
one-shot learning of object categories",
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@article{bb128679,
        AUTHOR = "Kuzborskij, I. and Orabona, F. and Caputo, B.",
        TITLE = "Scalable greedy algorithms for transfer learning",
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@inproceedings{bb128680,
        AUTHOR = "Tommasi, T. and Orabona, F. and Kaboli, M. and Caputo, B.",
        TITLE = "Leveraging over prior knowledge for online learning of visual
categories",
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@inproceedings{bb128681,
        AUTHOR = "Jie, L. and Tommasi, T. and Caputo, B.",
        TITLE = "Multiclass transfer learning from unconstrained priors",
        BOOKTITLE = ICCV11,
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@article{bb128682,
        AUTHOR = "Davenport, M.A. and Baraniuk, R.G. and Scott, C.D.",
        TITLE = "Tuning Support Vector Machines for Minimax and Neyman-Pearson
Classification",
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@article{bb128683,
        AUTHOR = "Bellala, G. and Stanley, J. and Bhavnani, S.K. and Scott, C.D.",
        TITLE = "A Rank-Based Approach to Active Diagnosis",
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@article{bb128684,
        AUTHOR = "Kim, J.S. and Scott, C.D.",
        TITLE = "L(2) Kernel Classification",
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@article{bb128685,
        AUTHOR = "Maulik, U. and Chakraborty, D.",
        TITLE = "A self-trained ensemble with semisupervised SVM:
An application to pixel classification of remote sensing imagery",
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@article{bb128686,
        AUTHOR = "Maulik, U. and Chakraborty, D.",
        TITLE = "Learning with transductive SVM for semisupervised pixel classification
of remote sensing imagery",
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@article{bb128687,
        AUTHOR = "Airola, A. and Pahikkala, T. and Salakoski, T.",
        TITLE = "Training linear ranking SVMs in linearithmic time using red-black trees",
        JOURNAL = PRL,
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@inproceedings{bb128688,
        AUTHOR = "Heimonen, J.H. and Salakoski, T. and Pahikkala, T.",
        TITLE = "Properties of Object-Level Cross-Validation Schemes for Symmetric
Pair-Input Data",
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        YEAR = "2014",
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@article{bb128689,
        AUTHOR = "Rivas Perea, P. and Cota Ruiz, J.",
        TITLE = "An algorithm for training a large scale support vector machine for
regression based on linear programming and decomposition methods",
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@book{bb128690,
        AUTHOR = "Cota Ruiz, J. and Rivas Perea, P.",
        TITLE = "An algorithm for training a large scale support vector machine for
regression based on linear programming and decomposition methods",
        YEAR = "2013",
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@article{bb128691,
        AUTHOR = "Rivas Perea, P. and Cota Ruiz, J. and Rosiles, J.G.",
        TITLE = "Corrigendum to 'An algorithm for training a large scale support vector
machine for regression based on linear programming and decomposition
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        JOURNAL = PRL,
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@article{bb128692,
        AUTHOR = "Prato, M. and Zanni, L.",
        TITLE = "A practical use of regularization for supervised learning with kernel
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@article{bb128693,
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@article{bb128694,
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@article{bb128695,
        AUTHOR = "Anguita, D. and Ghio, A. and Oneto, L. and Ridella, S.",
        TITLE = "Unlabeled patterns to tighten Rademacher complexity error bounds for
kernel classifiers",
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        NUMBER = "1",
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@article{bb128696,
        AUTHOR = "Singla, A. and Patra, S. and Bruzzone, L.",
        TITLE = "A novel classification technique based on progressive transductive
SVM learning",
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@article{bb128697,
        AUTHOR = "Jung, H.G. and Kim, G.",
        TITLE = "Support Vector Number Reduction: Survey and Experimental Evaluations",
        JOURNAL = ITS,
        VOLUME = "15",
        YEAR = "2014",
        NUMBER = "2",
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@article{bb128698,
        AUTHOR = "Doan, T.N. and Do, T.N. and Poulet, F.",
        TITLE = "Parallel incremental power mean SVM for the classification of
large-scale image datasets",
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        NUMBER = "2",
        MONTH = "June",
        PAGES = "89-96",
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@article{bb128699,
        AUTHOR = "Guo, H.S. and Wang, W.J.",
        TITLE = "An active learning-based SVM multi-class classification model",
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