Metric learning by directly minimizing the k-NN training error
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Originalsprog | Engelsk |
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Titel | 2012 21st International Conference on Pattern Recognition (ICPR) |
Antal sider | 4 |
Forlag | IEEE |
Publikationsdato | 2012 |
Sider | 1265-1268 |
ISBN (Trykt) | 978-1-4673-2216-4 |
Status | Udgivet - 2012 |
Begivenhed | 21st International Conference on Pattern Recognition - Tsukuba Science City , Japan Varighed: 11 nov. 2012 → 15 nov. 2012 Konferencens nummer: 21 |
Konference
Konference | 21st International Conference on Pattern Recognition |
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Nummer | 21 |
Land | Japan |
By | Tsukuba Science City |
Periode | 11/11/2012 → 15/11/2012 |
- 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
Forskningsområder
ID: 46940283