Invention Grant
- Patent Title: Feature selection algorithm under conditions of noisy data and limited recording
- Patent Title (中): 特征选择算法在噪声数据和有限记录条件下
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Application No.: US14788076Application Date: 2015-06-30
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Publication No.: US09582715B2Publication Date: 2017-02-28
- Inventor: Saritha Arunkumar , Su Yang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Lance I. Hochhauser
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N99/00 ; G06K9/62

Abstract:
Application of inter-class and intra-class filtering, based on aggregate point-to-point distances, to vector data for purposes of filtering the vector data for purposes of pattern recognition. In some embodiments: (i) the inter-class filtering is based on Euclidean distance, in all dimensions, between vector data points in vector space; and/or (ii) the intra-class filtering is based on a distance, in all dimensions, between vector data points in vector space.
Public/Granted literature
- US20170004362A1 FEATURE SELECTION ALGORITHM UNDER CONDITIONS OF NOISY DATA AND LIMITED RECORDING Public/Granted day:2017-01-05
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