发明授权
US08682065B2 Distance metric learning with feature decomposition 有权
距离度量学习与特征分解

  • 专利标题: Distance metric learning with feature decomposition
  • 专利标题(中): 距离度量学习与特征分解
  • 申请号: US12344018
    申请日: 2008-12-24
  • 公开(公告)号: US08682065B2
    公开(公告)日: 2014-03-25
  • 发明人: Meng WangXian-Sheng Hua
  • 申请人: Meng WangXian-Sheng Hua
  • 申请人地址: US WA Redmond
  • 专利权人: Microsoft Corporation
  • 当前专利权人: Microsoft Corporation
  • 当前专利权人地址: US WA Redmond
  • 代理商 Carole Boelitz; Micky Minhas
  • 主分类号: G06K9/00
  • IPC分类号: G06K9/00
Distance metric learning with feature decomposition
摘要:
This disclosure describes various exemplary systems, computer program products, and methods for feature distance metric learning with feature decomposition (DMLFD). The disclosure describes decomposing a high-dimensional feature space into one or more low-dimensional feature spaces according to minimum dependence. Furthermore, the disclosure describes how the sub-metrics are constructed and combined to form a global metric.
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