发明授权
- 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
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申请号: US12344018申请日: 2008-12-24
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公开(公告)号: US08682065B2公开(公告)日: 2014-03-25
- 发明人: Meng Wang , Xian-Sheng Hua
- 申请人: Meng Wang , Xian-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
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.
公开/授权文献
- US20100158396A1 Distance Metric Learning with Feature Decomposition 公开/授权日:2010-06-24
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