Large-scale distance metric learning for k-nearest neighbors regression
- Author
- Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)
- Organization
- Keywords
- COORDINATE DESCENT METHOD, CLASSIFICATION, OPTIMIZATION, MINIMIZATION, Nearest neighbor, Distance metric learning, Regression, Quadratic, programming
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8510207
- MLA
- Nguyen Cong, Bac, et al. “Large-Scale Distance Metric Learning for k-Nearest Neighbors Regression.” NEUROCOMPUTING, vol. 214, 2016, pp. 805–14, doi:10.1016/j.neucom.2016.07.005.
- APA
- Nguyen Cong, B., Morell, C., & De Baets, B. (2016). Large-scale distance metric learning for k-nearest neighbors regression. NEUROCOMPUTING, 214, 805–814. https://doi.org/10.1016/j.neucom.2016.07.005
- Chicago author-date
- Nguyen Cong, Bac, Carlos Morell, and Bernard De Baets. 2016. “Large-Scale Distance Metric Learning for k-Nearest Neighbors Regression.” NEUROCOMPUTING 214: 805–14. https://doi.org/10.1016/j.neucom.2016.07.005.
- Chicago author-date (all authors)
- Nguyen Cong, Bac, Carlos Morell, and Bernard De Baets. 2016. “Large-Scale Distance Metric Learning for k-Nearest Neighbors Regression.” NEUROCOMPUTING 214: 805–814. doi:10.1016/j.neucom.2016.07.005.
- Vancouver
- 1.Nguyen Cong B, Morell C, De Baets B. Large-scale distance metric learning for k-nearest neighbors regression. NEUROCOMPUTING. 2016;214:805–14.
- IEEE
- [1]B. Nguyen Cong, C. Morell, and B. De Baets, “Large-scale distance metric learning for k-nearest neighbors regression,” NEUROCOMPUTING, vol. 214, pp. 805–814, 2016.
@article{8510207,
author = {{Nguyen Cong, Bac and Morell, Carlos and De Baets, Bernard}},
issn = {{0925-2312}},
journal = {{NEUROCOMPUTING}},
keywords = {{COORDINATE DESCENT METHOD,CLASSIFICATION,OPTIMIZATION,MINIMIZATION,Nearest neighbor,Distance metric learning,Regression,Quadratic,programming}},
language = {{eng}},
pages = {{805--814}},
title = {{Large-scale distance metric learning for k-nearest neighbors regression}},
url = {{http://doi.org/10.1016/j.neucom.2016.07.005}},
volume = {{214}},
year = {{2016}},
}
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