| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
H. Cardot and O. Lezoray
ABSTRACT
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Graph of Neural Network (GNN). It is based on a set of several little neural networks, each one discriminating only two classes. The principles used to perform the decision of classification are : a branch quality index and a selection by elimination. A significant gain in the global classification rate can be obtained by using a GNN. This is illustrated by tests on databases from the UCI machine learning database repository. The experimental results show that a GNN can achieve an improved performance in classification. |
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