V. Y. Kulkarni

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A classifier ensemble is a group of individual base classifiers. Each classifier is trained individually by modifying the given data set to achieve diversity. During the testing phase the results given by each classifier are collected to give the final result using a technique called as majority voting. Empirical results prove that diversity amongst the(More)
A vision-based driver assistance system using image processing technology consists of three main modules: road detection, traffic sign detection/identification, obstacle detection. Traffic Sign Recognition is an upcoming research field under applied Computer Vision and Machine Learning which deals with the automatic detection and classification of traffic(More)
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