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On the Vulnerability of Finger Vein Recognition to Spoofing, Pedro Tome, Matthias Vanoni and Sébastien Marcel, in: IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germay, pages 1 - 10, IEEE, 2014
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Towards a quantitative measure of rareness, Tatiana Tommasi and Barbara Caputo, in: DIRAC Workshop at the European Conference on Machine Learning, pages 129-136, Springer Berlin Heidelberg, 2010
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Overview of the CLEF 2009 medical image annotation track, Tatiana Tommasi, Barbara Caputo, Petra Welter, Mark O. Güld and Thomas M Deserno, in: Workshop of the Cross-Language Evaluation Forum, Corfu, Greece, pages 85-93, Springer Berlin Heidelberg, 2009
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Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer, Tatiana Tommasi, Francesco Orabona and Barbara Caputo, in: Proceedings of IEEE Computer Vision and Pattern Recognition Conference, San Francisco, CA, pages 3081-3088, IEEE, 2010
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[DOI]
Cue Integration for Medical Image Annotation, Tatiana Tommasi, Francesco Orabona and Barbara Caputo, in: Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers, Springer-Verlag, 2008
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A Deeper Look at Dataset Bias, Tatiana Tommasi, Novi Patricia, Barbara Caputo and Tinne Tuytelaars, in: German Conference on Pattern Recognition, Aachen, Germany, pages 504–516, Springer International Publishing, 2015
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Kernel Methods for Melanoma Recognition, Tatiana Tommasi, Elisabetta La Torre and Barbara Caputo, in: Proceedings of Workshop on Computer Vision Approaches to Medical Image Analysis (CVAMIA) 2006), 2006
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Melanoma Recognition Using Representative and Discriminative Kernel Classifiers, Tatiana Tommasi, Elisabetta La Torre and Barbara Caputo, in: International Workshop on Computer Vision Applications for Medical Image Analysis, 2006
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AN INVESTIGATION OF MULTILINGUAL ASR USING END-TO-END LF-MMI, Sibo Tong, Philip N. Garner and Hervé Bourlard, in: International Conference on Acoustics, Speech and Signal Processing, 2019
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Fast Language Adaptation Using Phonological Information, Sibo Tong, Philip N. Garner and Hervé Bourlard, in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 2459-2463, 2018
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[DOI]
A Hybrid Approach to Continuous Speech Recognition, Kari Torkkola and Teuvo Kohonen, in: The handbook of brain theory and neural networks, The MIT Press, 1995
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition, Sandrine Tornay, Oya Aran and Mathew Magimai.-Doss, in: Proceedings of the International Conference on Language Resources and Evaluation LREC 2020, 2020
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A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language, Sandrine Tornay, Necati Cihan Camgoz, Richard Bowden and Mathew Magimai.-Doss, in: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020
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Towards Multilingual Sign Language Recognition, Sandrine Tornay, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
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Kernel Methods for Melanoma Recognition, Elisabetta La Torre, Tatiana Tommasi and Barbara Caputo, in: Medical Informatics in Europe (MIE), 2006
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Evaluation of Meeting Support Technology, Simon Tucker and Andrei Popescu-Belis, in: Multimodal Signal Processing: Human Interactions in Meetings, pages 237-252, Cambridge University Press, 2012
Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2018
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
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