Titlebook: Engineering Applications of Neural Networks; 12th International C Lazaros Iliadis,Chrisina Jayne Conference proceedings 2011 IFIP Internati

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tching, finite state machine, and template memory. The system proposed allows image segmentation using neural networks in order to identify navigable and non-navigable regions. It also uses supervised learning techniques which work with different levels of memory of the templates. As output our syst

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https://doi.org/10.1057/9780230100862urposes. Clustering tools are a suitable means as they are able to discover representative patterns from a myriad of collected data. In this work, the methodology of an eXclusive Self-Organizing Map (XSOM) is proposed as an evolution of a Kohonen map with outlier rejection capabilities. As will be s

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,Reading ‘Whiteness,’ Unreading ‘Race’, process. In order to obtain a non-task-dependent image representation schema, the early phase of neural vision mechanism is worth simulating. We design a neural model to simulate non-classical receptive field of ganglion cell and its local feedback control circuit, and find it can represent image,

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Virtually London: Literature and Laptopslasses) separation by hyperplanes in a given feature space. The family of . disjoined learning sets can be transformed into K linearly separable sets by the ranked layer of binary classifiers. Problems of the ranked layers deigning are analyzed in the paper.