Items for Sharmanska, Viktoriia

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Number of items: 5.

Book Section

Sharmanska, Viktoriia and Quadrianto, Novi (2017) In the era of deep convolutional features: are attributes still useful privileged data? In: Feris, Rogerio Schmidt, Lampert, Christoph and Parikh, Devi (eds.) Visual Attributes. Advances in computer vision and pattern recognition . Springer International Publishing, Cham, Switzerland, pp. 31-48. ISBN 9783319500751

Sharmanska, Viktoriia and Quadrianto, Novi (2017) Learning using privileged information. In: Sammut, Claude and Webb, Geoffrey I (eds.) Encyclopedia of machine learning and data mining. Springer US, pp. 734-737. ISBN 9781489976857

Conference Proceedings

Sharmanska, Viktoriia, Hernández-Lobato, Daniel, Hernández-Lobato, Jose Miguel and Quadrianto, Novi (2016) Ambiguity helps: classification with disagreements in crowdsourced annotations. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 2194-2202. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Sharmanska, Viktoriia and Quadrianto, Novi (2016) Learning from the mistakes of others: matching errors in cross dataset learning. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 3967-3975. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Taylor, Joseph G, Sharmanska, Viktoriia, Kersting, Kristian, Weir, David and Quadrianto, Novi (2016) Learning using Unselected Features (LUFe). Published in: Kambhampati, Subbarao, (ed.) Proceedings of the 25th International Joint Conference on Artificial Intelligence; New York; 9–15 July 2016. 2060-2066. AAAI Press / International Joint Conferences on Artificial Intelligence ISBN 9781577357711

This list was generated on Tue Oct 17 07:09:51 2017 BST.