计算机技术﹑电信技术 |
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空间约束半监督高斯过程下的高光谱图像分类 |
姚伏天1,2, 钱沄涛1, 李吉明1 |
1.浙江大学 计算机科学与技术学院,浙江 杭州 310029; 2.中国计量学院 计算机系,浙江 杭州 310018 |
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Semi-supervised learning based Gaussian processes for
hyperspectral image classification |
YAO Fu-tian1,2, QIAN Yun-tao1, LI Ji-ming1 |
1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310029, China;
2. Department of Computer Science and Technology, China Jiliang University, Hangzhou 310018, China |
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[7] MELGANI F, BRUZZONE L. Classification of hyperspectral remote sensing images with support vector machines [J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1778-1790.
[8] 姚伏天, 钱沄涛. 用于高光谱遥感图像分类的空间约束高斯过程方法[J]. 南京大学学报:自然科学版, 2009, 45(5): 665-670.
YAO Futian, QIAN Yuntao. A spatial Gaussian process method for hyperspectral remote sensing imagery classification [J]. Journal of Nanjing University: Natural Sciences, 2009, 45(5): 665-670.
[9] CHAPELLE O, SCHOLKOPF B, ZIEN A. Semisupervised learning [M]. Cambridge: MIT, 2006: 229-231.
[10] RASMUSSEN C, WILLIAMS I. Gaussian processes for machine learning [M]. Cambridge: MIT, 2006: 20-26.
[11] SINDHWANI V, NIYOGI P, BELKIN M. Beyond the point cloud: from transductive to semisupervised learning [C]∥Proceedings of the 22nd International Conference on Machine Learning. Bonn, Germany: [s. n.], 2005: 824-831.
[12] BELKIN M, NIYOGI P, SINDHWANI V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples [J]. Journal of Machine Learning Research, 2006, 7(7): 2339-2434. |
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