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Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling

Bac Nguyen Cong (UGent) and Bernard De Baets (UGent)
(2020) NEUROCOMPUTING. 402. p.209-219
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Keywords
Cognitive Neuroscience, Artificial Intelligence, Computer Science Applications, Deep learning, Representation learning, Metric learning, Loss function

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MLA
Nguyen Cong, Bac, and Bernard De Baets. “Improved Deep Embedding Learning Based on Stochastic Symmetric Triplet Loss and Local Sampling.” NEUROCOMPUTING, vol. 402, 2020, pp. 209–19, doi:10.1016/j.neucom.2020.04.062.
APA
Nguyen Cong, B., & De Baets, B. (2020). Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. NEUROCOMPUTING, 402, 209–219. https://doi.org/10.1016/j.neucom.2020.04.062
Chicago author-date
Nguyen Cong, Bac, and Bernard De Baets. 2020. “Improved Deep Embedding Learning Based on Stochastic Symmetric Triplet Loss and Local Sampling.” NEUROCOMPUTING 402: 209–19. https://doi.org/10.1016/j.neucom.2020.04.062.
Chicago author-date (all authors)
Nguyen Cong, Bac, and Bernard De Baets. 2020. “Improved Deep Embedding Learning Based on Stochastic Symmetric Triplet Loss and Local Sampling.” NEUROCOMPUTING 402: 209–219. doi:10.1016/j.neucom.2020.04.062.
Vancouver
1.
Nguyen Cong B, De Baets B. Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. NEUROCOMPUTING. 2020;402:209–19.
IEEE
[1]
B. Nguyen Cong and B. De Baets, “Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling,” NEUROCOMPUTING, vol. 402, pp. 209–219, 2020.
@article{8663208,
  author       = {{Nguyen Cong, Bac and De Baets, Bernard}},
  issn         = {{0925-2312}},
  journal      = {{NEUROCOMPUTING}},
  keywords     = {{Cognitive Neuroscience,Artificial Intelligence,Computer Science Applications,Deep learning,Representation learning,Metric learning,Loss function}},
  language     = {{eng}},
  pages        = {{209--219}},
  title        = {{Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling}},
  url          = {{http://doi.org/10.1016/j.neucom.2020.04.062}},
  volume       = {{402}},
  year         = {{2020}},
}
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