An invariant large margin nearest neighbour classifier

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...

書誌詳細
主要な著者:	Kumar, MP, Torr, PHS, Zisserman, A
フォーマット:	Conference item
言語:	English
出版事項:	IEEE 2007

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