An invariant large margin nearest neighbour classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on the distance metric being employed. The recently proposed large margin nearest neighbour (LMNN) classifier [21] learns a...
主要な著者: | , , |
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フォーマット: | Conference item |
言語: | English |
出版事項: |
IEEE
2007
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