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15 - General Engineering

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Article title

Canonical Correlation Analysis on Data With Censoring and Error Information

Type

D - Journal article

DOI

Title of journal

IEEE Transactions on Neural Networks and Learning Systems

Article number

Volume number

Issue number

First page of article

1909

ISSN of journal

2162-2388

Year of publication

2013

URL

Number of additional authors

Additional information

The paper introduces new theory into the field of canonical correlation analysis on censoring data and data with error information.

Interdisciplinary

Cross-referral requested

Research group

D - Modelling and Simulation Group

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract