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Automatic architectural style detection using one-class support vector machines and graph kernels

Tiemen Strobbe (UGent) , Francis wyffels (UGent) , Ruben Verstraeten (UGent) , Ronald De Meyer (UGent) and Jan Van Campenhout (UGent)
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Architectural design, Support vector machines, Machine learning

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Citation

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

Chicago
Strobbe, Tiemen, Francis wyffels, Ruben Verstraeten, Ronald De Meyer, and Jan Van Campenhout. 2016. “Automatic Architectural Style Detection Using One-class Support Vector Machines and Graph Kernels.” Automation in Construction 69: 1–10.
APA
Strobbe, T., wyffels, F., Verstraeten, R., De Meyer, R., & Van Campenhout, J. (2016). Automatic architectural style detection using one-class support vector machines and graph kernels. AUTOMATION IN CONSTRUCTION, 69, 1–10.
Vancouver
1.
Strobbe T, wyffels F, Verstraeten R, De Meyer R, Van Campenhout J. Automatic architectural style detection using one-class support vector machines and graph kernels. AUTOMATION IN CONSTRUCTION. 2016;69:1–10.
MLA
Strobbe, Tiemen et al. “Automatic Architectural Style Detection Using One-class Support Vector Machines and Graph Kernels.” AUTOMATION IN CONSTRUCTION 69 (2016): 1–10. Print.
@article{7283238,
  author       = {Strobbe, Tiemen and wyffels, Francis and Verstraeten, Ruben and De Meyer, Ronald and Van Campenhout, Jan},
  issn         = {0926-5805},
  journal      = {AUTOMATION IN CONSTRUCTION},
  language     = {eng},
  pages        = {1--10},
  title        = {Automatic architectural style detection using one-class support vector machines and graph kernels},
  url          = {http://dx.doi.org/10.1016/j.autcon.2016.05.024},
  volume       = {69},
  year         = {2016},
}

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