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[期刊论文] 作者：Ding Xinghao,Mi Zengyuan,Huang,
来源：电子科学学刊：英文版 年份：2012
Although Relevance Vector Machine (RVM) is the most popular algorithms in machine learning and computer vision, outliers in the training data make the estimatio...
[期刊论文] 作者：Ding Xinghao,Chen Xianbo,Huang,
来源：电子科学学刊：英文版 年份：2012
In this paper, a novel Magnetic Resonance (MR) reconstruction framework which combines image-wise and patch-wise sparse prior is proposed. For addressing, a tru...
[期刊论文] 作者：Ding Xinghao,Mi Zengyuan,Huang Yue,Jin Wenbo,,
来源：Journal of Electronics(China) 年份：2012
Although Relevance Vector Machine (RVM) is the most popular algorithms in machine learning and computer vision, outliers in the training data make the estimatio...
[期刊论文] 作者：Ding Xinghao,Chen Xianbo,Huang Yue,Mi Zengyuan,,
来源：Journal of Electronics(China) 年份：2012
In this paper, a novel Magnetic Resonance (MR) reconstruction framework which combines image-wise and patch-wise sparse prior is proposed. For addressing, a truncated beta-Bernoulli process is firstly...
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