A kernel-based approach to categorizing
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A. Verikas; A. Gelzinis; M. Bacauskiene; D. Valincius; V. Uloza
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Article
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2007
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Elsevier Science
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English
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This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization o