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Random-Forest-Matlab-master

于 2014-04-15 发布文件大小:43KB

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下载积分: 1 下载次数: 167

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代码说明：

随机森林用于图像处理matalab 代码(Random Forest matalab code for image processing)

文件列表：

Random-Forest-Matlab-master
...........................\data

...........................\demos
...........................\.....\forestdemo.m,3144,2014-02-27
...........................\.....\forestTest.m,649,2014-02-27
...........................\.....\forestTrain.m,1780,2014-02-27
...........................\.....\localContrastNormalize.m,1591,2014-02-27
...........................\.....\mgd.m,2414,2014-02-27
...........................\.....\storage.m,111,2014-02-27
...........................\.....\svmdemo.m,1823,2014-02-27
...........................\.....\svmTest.m,687,2014-02-27
...........................\.....\svmTrain.m,3331,2014-02-27
...........................\.....\treeTest.m,1568,2014-02-27
...........................\.....\treeTrain.m,1627,2014-02-27
...........................\.....\weakTest.m,1087,2014-02-27
...........................\.....\weakTrain.m,5637,2014-02-27
...........................\lib
...........................\...\forestTest.m,649,2014-02-27
...........................\...\forestTrain.m,1780,2014-02-27
...........................\...\localContrastNormalize.m,1591,2014-02-27
...........................\...\mgd.m,2414,2014-02-27
...........................\...\storage.m,111,2014-02-27
...........................\...\svmTest.m,687,2014-02-27
...........................\...\svmTrain.m,3331,2014-02-27
...........................\...\treeTest.m,1568,2014-02-27
...........................\...\treeTrain.m,1627,2014-02-27
...........................\...\weakTest.m,1087,2014-02-27
...........................\...\weakTrain.m,5637,2014-02-27
...........................\README.txt,1887,2014-02-27

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Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.

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逆合成孔径雷达中的运动补偿算法.具有高效率,高分辨率的特点.(inverse synthetic aperture radar of motion compensation algorithm. With high efficiency, high-resolution characteristics.)

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2013-03-21 09:58:26下载

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