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Twin support tensor machines for MCs detection
  • 时间：0
  • 分类：TP3[自动化与计算机技术—计算机科学与技术] U272.067[机械工程—车辆工程;交通运输工程—载运工具运用工程;交通运输工程—道路与铁道工程]
  • 作者机构：[1]VIPS Lab, School of Electronic Engineering, Xidian University, Xi＇an 710071, China, [2]School of Management, Xi＇an University of Architecture ＆ Technology, Xi＇an 710055, China
  • 相关基金：Supported by the National Natural Science Foundation of China （No. 60771068） and the Natural Science Basic Research Plan in Shaanxi Province of China （No. 2007F248）.
  • 相关项目：基于Directionlets与半监督学习的乳腺图像奇异性检测
关键词： 检测机, 双单片机, 学习算法, 支持向量机, 模式识别, 格局分析, 分类问题, 监督学习, Microcalcification Clusters （MCs） detection, TWin Support Tensor Machine （TWSTM）, TWin Support Vector Machine （TWSVM）, Receiver Operating Characteristic （ROC） curve
中文摘要：

Communication author： Zhang Xinsheng, born in 1978, male, Ph.D. candidate. P. O. Box 7, Xi＇an University of Architecture ＆ Technology, Xi＇an 710055, China. Email： xinsheng.zh@gmail.com.

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基于Directionlets与半监督学习的乳腺图像奇异性检测
期刊论文 77 会议论文 17 获奖 12 著作 2
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