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...
Hlavní autoři: | Kumar, MP, Torr, PHS, Zisserman, A |
---|---|
Médium: | Conference item |
Jazyk: | English |
Vydáno: |
IEEE
2007
|
Podobné jednotky
-
Nearest feature line classifier based on collaborative representation with nearest neighbour search algorithm
Autor: Zhongjie Zhuang, a další
Vydáno: (2021-01-01) -
Efficient discriminative learning of parametric nearest neighbor classifiers
Autor: Zhang, Z, a další
Vydáno: (2012) -
K-Nearest Neighbours Based Classifiers for Moving Object Trajectories Reconstruction
Autor: Afzal, Muhammad Majid, a další
Vydáno: (2018) -
Automatic Outcome in Manual Dexterity Assessment Using Colour Segmentation and Nearest Neighbour Classifier
Autor: Edwin Daniel Oña, a další
Vydáno: (2018-08-01) -
Nearest neighbour group-based classification
Autor: Samsudin, Noor A., a další
Vydáno: (2010)