The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
We present a document-specific OCR system and apply it to a corpus of faxed business letters. Unsupervised classification of the segmented character bitmaps on each page, using a ...
Abstract— This paper introduces a transformational design method which can be used to map code written in a high level source language, like C, to a coarse grain reconfigurable ...
This paper presents an appearance–based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual app...
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...