Titlebook: Artificial Neural Networks and Machine Learning -- ICANN 2014; 24th International C Stefan Wermter,Cornelius Weber,Alessandro E. P. Vi Conf

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Artificial Neural Networks and Machine Learning -- ICANN 2014978-3-319-11179-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162636.jpg

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Aufbau von Fernsehantennen aus Richtfeldern,nchronously operating pixels that is inspired by the human retina. Each pixel reports events of illumination changes, are processed in a purely event-based tracker that pursues edges of events in the input stream. The tracker estimates are used to determine whether the input events originate from an

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https://doi.org/10.1007/978-3-642-50652-9cisions are easy to interpret. Here, we demonstrate how to find a good Mahalanobis distance for .-NN classification by a simple gradient descent without any constraints. The cost term uses global distances and unlike other methods there is a soft transition in the influence of data points. It is eva