Selected article for: "basis function and radial basis function"
Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features
  • Document date: 2020_4_6
    • ID: 2l1zw19o_3
    Snippet: Sorensen et al. [10] used dissimilarities computed between collections of regions of interest. Then, they classified these features via a standard vector space-based classifier. Zhang and Wang [11] presented a CT classification framework with three classical types of features (grayscale values, shape and texture features, and symmetric features). They used the radial basis function of the nerve network to classify image features. Homem et al. [12.....
    Document: Sorensen et al. [10] used dissimilarities computed between collections of regions of interest. Then, they classified these features via a standard vector space-based classifier. Zhang and Wang [11] presented a CT classification framework with three classical types of features (grayscale values, shape and texture features, and symmetric features). They used the radial basis function of the nerve network to classify image features. Homem et al. [12] presented a comparative study using the Jeffries-Matusita (J-M) distance and the Karhunen-Loève transformation feature extraction methods.

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