Title :
Constructing non-orthogonal feature bases
Author :
Hyötyniemi, Heikki
Author_Institution :
Control Eng. Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A feature extraction algorithm based on self-organising maps is presented. The converged feature map can be interpreted as a non-orthogonal basis spanning the space of the input vectors. The new algorithm can be shown to be a generalization of the generalised Hebbian algorithm (GHA)
Keywords :
Hebbian learning; feature extraction; self-organising feature maps; feature extraction algorithm; generalised Hebbian algorithm; nonorthogonal feature bases; self-organising maps; Code standards; Control engineering; Data mining; Feature extraction; Laboratories; Neural networks; Pattern recognition; Prototypes; Self organizing feature maps; Space technology;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549167
