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Date:18/05/24

 


Publication type: Article
Title: Canonical Correlation Analysis on Data With Censoring and Error Information
Author(s): Sun,Jianyong (Author)
Source Journal Info. Title:IEEE Transactions on Neural Networks and Learning Systems
Issue Number:2013/DEC V.24 N.12
Call No.:006 ITN
Location: References & Periodical Hall - 2nd floor
Physical Description: p 1909-1919
Subject Area: Computer
Subject Terms:  Neural networks (Computer science) 
Accession Number 109283
Abstract
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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