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Publication type: Article
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Title: |
Canonical Correlation Analysis on Data With Censoring and Error Information
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Author(s): |
Sun,Jianyong
(Author)
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Source Journal Info. |
Title:IEEE Transactions on Neural Networks and Learning Systems
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Issue Number:2013/DEC V.24 N.12
Call No.:006 ITN Location: References & Periodical Hall - 2nd floor
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Physical Description: |
p 1909-1919
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Subject Area: |
Computer
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Subject Terms: |
Neural networks (Computer science)
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Accession Number |
109283
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Abstract
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We developed a probabilistic model for canonical correlation analysis in the case when the associated datasets are incomplete. This case can arise where data entries either contain measurement errors or are censored (i.e., nonignorable missing) due to uncertainties in instrument calibration and physical limitations of devices and experimental conditions. ...
Abstract URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6557493&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6651762%29
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