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Filter-based feature selection techniques are less complex compare to Wrapper-based feature selection techniques in case of High Dimensional datasets. In this paper, we proposed a filter method feature selection, which is Cosine Similarity-based Filter feature selection Technique (CSF) for High-Dimensional Datasets. In this method, absolute cosine similarity with respect to class label is used to...
In this paper, we propose a hybrid classification model, which has correlation based filter feature selection algorithm and support vector machine as a classifier. In this method, features are ordered according to their Absolute correlation value with respect to the class attribute. Then top K Features are selected from ordered list of features to form a reduced dataset. The classification accuracy...
A complete Bangla PhotoOCR requires a series of carefully chosen algorithms. Text extraction from images is a long-standing active research area. It is even more attractive today due to the availability of low-cost mobile image acquisition devices. Many researchers have addressed this problem using different approaches. Often times, the first step towards text extraction from images is detection of...
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