Supervised distance metric learning through maximization of the Jeffrey divergence

B Nguyen, C Morell, B De Baets - Pattern Recognition, 2017 - Elsevier
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …

Supervised distance metric learning through maximization of the Jeffrey divergence

B Nguyen, C Morell, B De Baets - Pattern Recognition, 2017 - dl.acm.org
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …

Supervised distance metric learning through maximization of the Jeffrey divergence

B Nguyen Cong, C Morell, B De Baets - PATTERN RECOGNITION, 2017 - biblio.ugent.be
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …

Supervised distance metric learning through maximization of the Jeffrey divergence

B Nguyen, C Morell, B De Baets - Pattern Recognition, 2017 - infona.pl
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …

Supervised distance metric learning through maximization of the Jeffrey divergence

B Nguyen, C Morell, B De Baets - Pattern Recognition, 2017 - ui.adsabs.harvard.edu
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …