no code implementations • 29 Sep 2021 • Yeti Z. Gürbüz, Oğul Can, A. Aydin Alatan
Deep metric learning (DML) aims to minimize empirical expected loss of the pairwise intra-/inter- class proximity violations in the embedding image.
no code implementations • 24 Oct 2020 • Oğul Can, Yeti Z. Gürbüz, Berkin Yıldırım, A. Aydin Alatan
We propose an end-to-end learning approach to address deinterleaving of patterns in time series, in particular, radar signals.
no code implementations • 17 Jul 2019 • Oğul Can, Yeti Ziya Gürbüz, A. Aydin Alatan
The feasible set induced by the constraint set is expressed as the intersection of the relaxed feasible sets which enforce the proximity constraints only for particular samples (a sample from each class) of the training data.