You are in : Home » Results & submissions » Select UOA » 13 - Electrical and Electronic Engineering, Metallurgy and Materials » View submission: Queen Mary University of London : A - Electrical and Electronic engineering » Outputs » Detail

Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Queen Mary University of London : A - Electrical and Electronic engineering

Return to search Previous output Next output

Output 0 of 0 in the submission

Article title

Finding representative landmarks of data on manifolds

Type

D - Journal article

DOI

10.1016/j.patcog.2009.01.032

Title of journal

Pattern Recognition

Article number

Volume number

Issue number

First page of article

2335

ISSN of journal

0031-3203

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0031320309000636

Number of additional authors

Additional information

Work introduces a new category of landmarks that represent the data in the ambient Euclidean space, and has developed an optimization-based scheme to improve the reliability for representing the manifold data. It has found applications in superresolution, face recognition, and image retrieval.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract