Ghent University Academic Bibliography

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Scalable large-margin distance metric learning using stochastic gradient descent

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2020) IEEE TRANSACTIONS ON CYBERNETICS. 50(3). p.1072-1083
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An efficient method for clustered multi-metric learning

Bac Nguyen Cong (UGent) , Francesc J Ferri, Carlos Morell and Bernard De Baets (UGent)

(2019) INFORMATION SCIENCES. 471. p.149-163
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Distance metric learning for ordinal classification based on triplet constraints

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2018) KNOWLEDGE-BASED SYSTEMS. 142. p.17-28
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Supervised distance metric learning through maximization of the Jeffrey divergence

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2017) PATTERN RECOGNITION. 64. p.215-225
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Distance metric learning with the Universum

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2017) PATTERN RECOGNITION LETTERS. 100. p.37-43
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- Conference Paper
- C1
- open access
Distance metric learning : a two-phase approach

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2017) Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017). p.123-128
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Large-scale distance metric learning for k-nearest neighbors regression

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2016) NEUROCOMPUTING. 214. p.805-814

Academic Bibliography

Scalable large-margin distance metric learning using stochastic gradient descent

An efficient method for clustered multi-metric learning

Distance metric learning for ordinal classification based on triplet constraints

Supervised distance metric learning through maximization of the Jeffrey divergence

Distance metric learning with the Universum

Distance metric learning : a two-phase approach

Large-scale distance metric learning for k-nearest neighbors regression

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