An incremental network for on-line unsupervised classification and topology learning

By Shen Furao, Osamu Hasegawa. Neural Networks, 2006

334 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/21dc01e991451e7fa6963c7cd4b7c6af63fffe8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nicolas P. Rougier
2. Yann Boniface

In Computer Vision and Pattern Recognition

1. Nicolas P. Rougier
2. Yann Boniface

In Signal Processing

1. Nicolas P. Rougier
2. Yann Boniface

Citations in the corpus

• Dynamic self-organising map (2011, methodology): “Self-organising incremental neural network (SOINN) [18] and its enhanced version (ESOINN) [19] are also based on an incremental struc-54 ture where the first version is using a two layers network while the enhanced version proposed a single layer network.”