Metric learning by directly minimizing the k-NN training error

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Metric learning by directly minimizing the k-NN training error. / Chernoff, Konstantin; Loog, Marco; Nielsen, Mads.

2012 21st International Conference on Pattern Recognition (ICPR). IEEE, 2012. s. 1265-1268.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Chernoff, K, Loog, M & Nielsen, M 2012, Metric learning by directly minimizing the k-NN training error. i 2012 21st International Conference on Pattern Recognition (ICPR). IEEE, s. 1265-1268, 21st International Conference on Pattern Recognition , Tsukuba Science City , Japan, 11/11/2012. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460369&queryText%3DMetric+learning+by+directly+minimizing+the+k-NN+training+error>

APA

Chernoff, K., Loog, M., & Nielsen, M. (2012). Metric learning by directly minimizing the k-NN training error. I 2012 21st International Conference on Pattern Recognition (ICPR) (s. 1265-1268). IEEE. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460369&queryText%3DMetric+learning+by+directly+minimizing+the+k-NN+training+error

Vancouver

Chernoff K, Loog M, Nielsen M. Metric learning by directly minimizing the k-NN training error. I 2012 21st International Conference on Pattern Recognition (ICPR). IEEE. 2012. s. 1265-1268

Author

Chernoff, Konstantin ; Loog, Marco ; Nielsen, Mads. / Metric learning by directly minimizing the k-NN training error. 2012 21st International Conference on Pattern Recognition (ICPR). IEEE, 2012. s. 1265-1268

Bibtex

@inproceedings{e5090c5e40194e038ad5cac9f01920b0,
title = "Metric learning by directly minimizing the k-NN training error",
keywords = "learning (artificial intelligence), LOO error minimization, energy function, global distance metrics, k-NN training error minimization, leave-one-out error minimization, metric learning, public datasets, Art, Iris, Machine learning, Measurement, Optimization, Training, Vectors",
author = "Konstantin Chernoff and Marco Loog and Mads Nielsen",
year = "2012",
language = "English",
isbn = "978-1-4673-2216-4 ",
pages = "1265--1268",
booktitle = "2012 21st International Conference on Pattern Recognition (ICPR)",
publisher = "IEEE",
note = "null ; Conference date: 11-11-2012 Through 15-11-2012",

}

RIS

TY - GEN

T1 - Metric learning by directly minimizing the k-NN training error

AU - Chernoff, Konstantin

AU - Loog, Marco

AU - Nielsen, Mads

N1 - Conference code: 21

PY - 2012

Y1 - 2012

KW - learning (artificial intelligence)

KW - LOO error minimization

KW - energy function

KW - global distance metrics

KW - k-NN training error minimization

KW - leave-one-out error minimization

KW - metric learning

KW - public datasets

KW - Art

KW - Iris

KW - Machine learning

KW - Measurement

KW - Optimization

KW - Training

KW - Vectors

M3 - Article in proceedings

SN - 978-1-4673-2216-4

SP - 1265

EP - 1268

BT - 2012 21st International Conference on Pattern Recognition (ICPR)

PB - IEEE

Y2 - 11 November 2012 through 15 November 2012

ER -

ID: 46940283