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An approach to supervised distance metric learning based on difference of convex functions programming

Bac Nguyen Cong (UGent) and Bernard De Baets (UGent)
(2018) PATTERN RECOGNITION. 81. p.562-574
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Keywords
Distance metric learning, Nearest neighbor, Linear transformation, DC programming, SUPPORT VECTOR MACHINE, PATTERN-CLASSIFICATION, RECOGNITION, ALGORITHMS, OPTIMIZATION, REGRESSION

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

Chicago
Nguyen Cong, Bac, and Bernard De Baets. 2018. “An Approach to Supervised Distance Metric Learning Based on Difference of Convex Functions Programming.” Pattern Recognition 81: 562–574.
APA
Nguyen Cong, B., & De Baets, B. (2018). An approach to supervised distance metric learning based on difference of convex functions programming. PATTERN RECOGNITION, 81, 562–574.
Vancouver
1.
Nguyen Cong B, De Baets B. An approach to supervised distance metric learning based on difference of convex functions programming. PATTERN RECOGNITION. 2018;81:562–74.
MLA
Nguyen Cong, Bac, and Bernard De Baets. “An Approach to Supervised Distance Metric Learning Based on Difference of Convex Functions Programming.” PATTERN RECOGNITION 81 (2018): 562–574. Print.
@article{8562022,
  author       = {Nguyen Cong, Bac and De Baets, Bernard},
  issn         = {0031-3203},
  journal      = {PATTERN RECOGNITION},
  keyword      = {Distance metric learning,Nearest neighbor,Linear transformation,DC programming,SUPPORT VECTOR MACHINE,PATTERN-CLASSIFICATION,RECOGNITION,ALGORITHMS,OPTIMIZATION,REGRESSION},
  language     = {eng},
  pages        = {562--574},
  title        = {An approach to supervised distance metric learning based on difference of convex functions programming},
  url          = {http://dx.doi.org/10.1016/j.patcog.2018.04.024},
  volume       = {81},
  year         = {2018},
}

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