Least squares support vector regression and interval type-2 fuzzy density weight for scene denoising

Shuqiong Xu; Zhi Liu; Yun Zhang

doi:10.1007/s00500-015-1598-4

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Least squares support vector regression and interval type-2 fuzzy density weight for scene denoising

Shuqiong Xu Zhi Liu Yun Zhang

Year: 2015 Journal: Soft Computing Vol: 20 (4)Pages: 1459-1470 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-015-1598-4

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Keywords:

Support vector machine Fuzzy logic Artificial intelligence Noise (video) Pattern recognition (psychology) Noise reduction Mathematics Interval (graph theory) Least squares support vector machine Fuzzy set Computer science Machine learning Image (mathematics)

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Least squares support vector regression and interval type-2 fuzzy density weight for scene denoising

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