Titlebook: Hybrid Information Systems; Ajith Abraham,Mario Köppen Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 algorithms.class

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Hybrid Information Systems978-3-7908-1782-9Series ISSN 1867-5662 Series E-ISSN 1867-5670

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Ajith Abraham,Mario KöppenIncludes supplementary material:

极大的痛苦

Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/h/image/430094.jpg

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吸引人的花招

Neural Techniques in Logo Recognition refers to logos, which are scaled, rotated, and have a brightness or contrast variation from the original logo. The system recognises these logos and makes correct judgements regarding their identity. The success rate for this system is about 75 to 80 percent

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Use of Multi-category Proximal SVM for Data Set Reductionear MPSVM Formulation in an iterative manner we identify the outliers in the data set and eliminate them. A .-Nearest Neighbor (.-NN) classifier is able to classify points using this reduced data set without significant loss of accuracy. We present experiments on a well known large OCR data set to v

Free-Radical

Neural Techniques in Logo Recognition refers to logos, which are scaled, rotated, and have a brightness or contrast variation from the original logo. The system recognises these logos and makes correct judgements regarding their identity. The success rate for this system is about 75 to 80 percent

Sciatica

Motion Detection Using Cellular Neural Networks local neighborhood. The function of each processor is dependent on the choice of the control and feedback templates. In this paper a new set of templates is introduced. These templates allow the CNN processor to detect object motion in any direction, as well as estimating the motion distance. Expe