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» Clustering of Self-Organizing Map
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ICANN
2007
Springer
15 years 11 months ago
Visualising Class Distribution on Self-organising Maps
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...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
110
Voted
ICPR
2000
IEEE
16 years 6 months ago
OCR with No Shape Training
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 ...
Tin Kam Ho, George Nagy
138
Voted
DATE
2003
IEEE
90views Hardware» more  DATE 2003»
15 years 10 months ago
Mapping Applications to an FPFA Tile
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 ...
Michèl A. J. Rosien, Yuanqing Guo, Gerard J...
135
Voted
DICTA
2007
15 years 6 months ago
On the Induction of Topological Maps from Sequences of Colour Histograms
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...
Felix Werner, Joaquin Sitte, Frédéri...
123
Voted
MVA
2000
122views Computer Vision» more  MVA 2000»
15 years 6 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
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...