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An efficient method for clustered multi-metric learning

(2019) INFORMATION SCIENCES. 471. p.149-163
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Keywords
Multi-metric learning, Heterogeneously distributed data, Nearest-neighbor classification, Convex optimization, NEAREST-NEIGHBOR CLASSIFICATION, DISTANCE, MINIMIZATION, CONVERGENCE, RECOGNITION, MATRIX

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Please use this url to cite or link to this publication:

MLA
Nguyen Cong, Bac, Francesc J Ferri, Carlos Morell, et al. “An Efficient Method for Clustered Multi-metric Learning.” INFORMATION SCIENCES 471 (2019): 149–163. Print.
APA
Nguyen Cong, B., Ferri, F. J., Morell, C., & De Baets, B. (2019). An efficient method for clustered multi-metric learning. INFORMATION SCIENCES, 471, 149–163.
Chicago author-date
Nguyen Cong, Bac, Francesc J Ferri, Carlos Morell, and Bernard De Baets. 2019. “An Efficient Method for Clustered Multi-metric Learning.” Information Sciences 471: 149–163.
Chicago author-date (all authors)
Nguyen Cong, Bac, Francesc J Ferri, Carlos Morell, and Bernard De Baets. 2019. “An Efficient Method for Clustered Multi-metric Learning.” Information Sciences 471: 149–163.
Vancouver
1.
Nguyen Cong B, Ferri FJ, Morell C, De Baets B. An efficient method for clustered multi-metric learning. INFORMATION SCIENCES. 2019;471:149–63.
IEEE
[1]
B. Nguyen Cong, F. J. Ferri, C. Morell, and B. De Baets, “An efficient method for clustered multi-metric learning,” INFORMATION SCIENCES, vol. 471, pp. 149–163, 2019.
@article{8573283,
  author       = {{Nguyen Cong, Bac and Ferri, Francesc J and Morell, Carlos and De Baets, Bernard}},
  issn         = {{0020-0255}},
  journal      = {{INFORMATION SCIENCES}},
  keywords     = {{Multi-metric learning,Heterogeneously distributed data,Nearest-neighbor classification,Convex optimization,NEAREST-NEIGHBOR CLASSIFICATION,DISTANCE,MINIMIZATION,CONVERGENCE,RECOGNITION,MATRIX}},
  language     = {{eng}},
  pages        = {{149--163}},
  title        = {{An efficient method for clustered multi-metric learning}},
  url          = {{http://dx.doi.org/10.1016/j.ins.2018.08.055}},
  volume       = {{471}},
  year         = {{2019}},
}

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