The Local Linear Map (LLM)

The local linear map (LLM) has been shown to be a powerful tool for the fast learning of non-linear mappings, such as classification tasks in Computer Vision applications (see projects and literature below). The LLM-approach was originally motivated by the Kohonen Self-organizing Map with the aim to obtain a good map resolution even with a small number of units. The LLM combines unsupervised and supervised learning in contrast to the widely used multi-layer perceptron trained with back-propagation.

...to be continued!