Ghent University Academic Bibliography

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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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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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Fuzzy rough classifiers for class imbalanced multi-instance data

Sarah Vluymans (UGent) , Dánel Sánchez Tarragó, Yvan Saeys (UGent) , Chris Cornelis (UGent) and Francisco Herrera

(2016) PATTERN RECOGNITION. 53. p.36-45
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- journalArticle
- A1
- open access
Integrated inference and learning of neural factors in structural support vector machines

Rein Houthooft (UGent) and Filip De Turck (UGent)

(2016) PATTERN RECOGNITION. 59. p.292-301
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Labelling strategies for hierarchical multi-label classification techniques

Isaac Triguero (UGent) and Celine Vens

(2016) PATTERN RECOGNITION. 56. p.170-183
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On the impact of anisotropic diffusion on edge detection

Carlos Lopez-Molina, Mikel Galar, Humberto Bustince and Bernard De Baets (UGent)

(2014) PATTERN RECOGNITION. 47(1). p.270-281
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Quantitative error measures for edge detection

Carlos Lopez-Molina, Bernard De Baets (UGent) and Humberto Bustince

(2013) PATTERN RECOGNITION. 46(4). p.1125-1139
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FRPS: a fuzzy rough prototype selection method

Nele Verbiest (UGent) , Chris Cornelis (UGent) and Francisco Herrera

(2013) PATTERN RECOGNITION. 46(10). p.2770-2782
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A gravitational approach to edge detection based on triangular norms

C Lopez-Molina, H Bustince, J Fernandez, P Couto and Bernard De Baets (UGent)

(2010) PATTERN RECOGNITION. 43(11). p.3730-3741
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- journalArticle
- A1
Adaptive and optimal difference operators in image processing

Peter Veelaert (UGent) and Kristof Teelen (UGent)

(2009) PATTERN RECOGNITION. 42(10). p.2317-2326

Academic Bibliography

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

Supervised distance metric learning through maximization of the Jeffrey divergence

Fuzzy rough classifiers for class imbalanced multi-instance data

Integrated inference and learning of neural factors in structural support vector machines

Labelling strategies for hierarchical multi-label classification techniques

On the impact of anisotropic diffusion on edge detection

Quantitative error measures for edge detection

FRPS: a fuzzy rough prototype selection method

A gravitational approach to edge detection based on triangular norms

Adaptive and optimal difference operators in image processing

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