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高维空间多分辨率最小生成树模型的自适应一类分类算法

胡正平 冯凯

胡正平, 冯凯. 高维空间多分辨率最小生成树模型的自适应一类分类算法. 自动化学报, 2012, 38(5): 769-775. doi: 10.3724/SP.J.1004.2012.00769
引用本文: 胡正平, 冯凯. 高维空间多分辨率最小生成树模型的自适应一类分类算法. 自动化学报, 2012, 38(5): 769-775. doi: 10.3724/SP.J.1004.2012.00769
HU Zheng-Ping, FENG Kai. An Adaptive One-class Classification Algorithm Based on Multi-resolution Minimum Spanning Tree Model in High-dimensional Space. ACTA AUTOMATICA SINICA, 2012, 38(5): 769-775. doi: 10.3724/SP.J.1004.2012.00769
Citation: HU Zheng-Ping, FENG Kai. An Adaptive One-class Classification Algorithm Based on Multi-resolution Minimum Spanning Tree Model in High-dimensional Space. ACTA AUTOMATICA SINICA, 2012, 38(5): 769-775. doi: 10.3724/SP.J.1004.2012.00769

高维空间多分辨率最小生成树模型的自适应一类分类算法

doi: 10.3724/SP.J.1004.2012.00769
详细信息
    通讯作者:

    胡正平, 燕山大学博士, 教授. 主要研究方向为统计学习理论, 模式识别, 医学图像处理.

An Adaptive One-class Classification Algorithm Based on Multi-resolution Minimum Spanning Tree Model in High-dimensional Space

  • 摘要: 基于最小生成树数据描述(Minimum spanning tree class descriptor, MSTCD)法覆盖半径固定不变,难以形成局部结构紧致性描述. 本文将多尺度分析思想和最小生成树(Minimum spanning tree, MST)结构相结合,提出最小生成树的自适应多分辨率覆盖模型. 该模型利用样本流形的自身结构特点实现对数据的多分辨分析, 任意位置的分辨率由对应的''点''结构和''边''结构共同决定,整体覆盖模型拥有多个覆盖半径, 数据当前位置不同、分辨率不同,实现在多分辨尺度下对数据流形的自适应紧致覆盖. 实验结果表明该方法具有一定的合理性.
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出版历程
  • 收稿日期:  2011-05-30
  • 修回日期:  2011-08-30
  • 刊出日期:  2012-05-20

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