کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
482661 | 1446216 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of SVM and ANN for image retrieval
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Application of SVM and ANN for image retrieval Application of SVM and ANN for image retrieval](/preview/png/482661.png)
چکیده انگلیسی
This paper presents a new, scaling and rotation invariant encoding scheme for shapes. Support vector machines (SVMs) and artificial neural networks (ANNs) are used for the classifications of shapes encoded by the new method. The SVM classification accuracy rate is 95.9 ∓ 2.9% in 14 categories and 79.2 ∓ 2.1% in 40 categories. This shows that SVM is one of the best tools for classification problems. The experimental results showed that SVM achieved better performance than ANN. A sensitivity test is performed to show that SVM is quite robust against different parameter values. In addition, our coding method is comparable to previous coding scheme in terms of SVM and ANN performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 173, Issue 3, 16 September 2006, Pages 938–950
Journal: European Journal of Operational Research - Volume 173, Issue 3, 16 September 2006, Pages 938–950
نویسندگان
Wai-Tak Wong, Sheng-Hsun Hsu,