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Learning Using Privileged Information in Prototype Based Models.

, , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 322-329. Springer, (2012)

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Incorporating Privileged Information Through Metric Learning., , , and . IEEE Trans. Neural Netw. Learning Syst., 24 (7): 1086-1098 (2013)Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment., , , , , , and . Front. Comput. Neurosci., (2016)Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach., , , and . ISBI, page 1527-1531. IEEE, (2019)Adaptive Metric Learning Vector Quantization for Ordinal Classification., and . Neural Computation, 24 (11): 2825-2851 (2012)Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation., , , , and . J. Imaging, 3 (4): 61 (2017)Ordinal-based metric learning for learning using privileged information., and . IJCNN, page 1-8. IEEE, (2013)Ontological Levels in Histological Imaging., , , and . FOIS, volume 283 of Frontiers in Artificial Intelligence and Applications, page 271-284. IOS Press, (2016)Metric learning for incorporating privileged information in prototype-based models.. University of Birmingham, UK, (2013)British Library, EThOS.Novel applications of discrete mereotopology to mathematical morphology., , , and . Sig. Proc.: Image Comm., (2019)A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites., , , and . CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 36-46. Springer, (2019)