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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 3 of 76 in the submission

Article title

A class boundary preserving algorithm for data condensation

Type

D - Journal article

DOI

10.1016/j.patcog.2010.08.014

Title of journal

Pattern Recognition

Article number

Volume number

Issue number

First page of article

704

ISSN of journal

00313203

Year of publication

2011

URL

Number of additional authors

Additional information

The paper proposes a new, mathematically provable algorithm capable of dramatically reducing stored data whilst maximising the preserved information content. The research underpinned the award of two industrial projects on nuclear forensics and data analytics by AWE plc (one consultancy project and one PhD studentship, contact: Dr Phillip Turner, phillip.turner@offsite.awe.co.uk). It also formed the basis for another paper in IEEE TNNLS on work for big data.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract