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Improving VAE generations of multimodal data through data-dependent conditional priors.

, , и . CoRR, (2019)

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Alexandros Theodoridis

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Alexandros Daponte

Alexandros Argirokastritis

Alexandros Tsallas

 

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A metric learning perspective of SVM: on the relation of LMNN and SVM., , , и . AISTATS, том 22 из JMLR Proceedings, стр. 308-317. JMLR.org, (2012)Two-Stage Metric Learning., , , , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 370-378. JMLR.org, (2014)Convex formulations of radius-margin based Support Vector Machines., и . ICML (1), том 28 из JMLR Workshop and Conference Proceedings, стр. 169-177. JMLR.org, (2013)Representational Issues in Meta-Learning., и . ICML, стр. 313-320. AAAI Press, (2003)Continual Classification Learning Using Generative Models., , , и . CoRR, (2018)Variational Saccading: Efficient Inference for Large Resolution Images., , , и . CoRR, (2018)Margin and Radius Based Multiple Kernel Learning., , , и . ECML/PKDD (1), том 5781 из Lecture Notes in Computer Science, стр. 330-343. Springer, (2009)Forecasting and Granger Modelling with Non-linear Dynamical Dependencies., , и . ECML/PKDD (2), том 10535 из Lecture Notes in Computer Science, стр. 544-558. Springer, (2017)Learning Neighborhoods for Metric Learning., , и . ECML/PKDD (1), том 7523 из Lecture Notes in Computer Science, стр. 223-236. Springer, (2012)Adaptive Matching Based Kernels for Labelled Graphs., , и . PAKDD (2), том 6119 из Lecture Notes in Computer Science, стр. 374-385. Springer, (2010)