Invention Grant
- Patent Title: Distance metric learning with feature decomposition
- Patent Title (中): 距离度量学习与特征分解
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Application No.: US12344018Application Date: 2008-12-24
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Publication No.: US08682065B2Publication Date: 2014-03-25
- Inventor: Meng Wang , Xian-Sheng Hua
- Applicant: Meng Wang , Xian-Sheng Hua
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agent Carole Boelitz; Micky Minhas
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
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.
Public/Granted literature
- US20100158396A1 Distance Metric Learning with Feature Decomposition Public/Granted day:2010-06-24
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