An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval

Nabeel Mohammed; David McGregor Squire

doi:10.1109/DICTA.2014.7008095

An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval

Nabeel Mohammed, David McGregor Squire

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Editors	Abdesselam Bouzerdoum, Lei Wang, Philip Ogunbona, Wanqing Li, Son Lam Phung
Place of Publication	Danvers MA USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1 - 8
Number of pages	8
ISBN (Print)	9781479954094
DOIs	https://doi.org/10.1109/DICTA.2014.7008095
Publication status	Published - 2014
Event	Digital Image Computing Techniques and Applications 2014 - Wollongong, Australia Duration: 25 Nov 2014 → 27 Nov 2014 Conference number: 16th https://ssl.informatics.uow.edu.au/dicta2014/ https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding (Proceedings)

Conference

Conference	Digital Image Computing Techniques and Applications 2014
Abbreviated title	DICTA 2014
Country/Territory	Australia
City	Wollongong
Period	25/11/14 → 27/11/14
Internet address	https://ssl.informatics.uow.edu.au/dicta2014/ https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding (Proceedings)

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10.1109/DICTA.2014.7008095

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Mohammed, N., & Squire, D. M. (2014). An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval. In A. Bouzerdoum, L. Wang, P. Ogunbona, W. Li, & S. L. Phung (Eds.), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1 - 8). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2014.7008095

Mohammed, Nabeel ; Squire, David McGregor. / An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval. 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). editor / Abdesselam Bouzerdoum ; Lei Wang ; Philip Ogunbona ; Wanqing Li ; Son Lam Phung. Danvers MA USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 1 - 8

@inproceedings{f69fb108efed49469160b67f9ac8083a,

title = "An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval",

author = "Nabeel Mohammed and Squire, {David McGregor}",

year = "2014",

doi = "10.1109/DICTA.2014.7008095",

language = "English",

isbn = "9781479954094",

pages = "1 -- 8",

editor = "Abdesselam Bouzerdoum and Lei Wang and Philip Ogunbona and Wanqing Li and Phung, {Son Lam}",

booktitle = "2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "Digital Image Computing Techniques and Applications 2014, DICTA 2014 ; Conference date: 25-11-2014 Through 27-11-2014",

url = "https://ssl.informatics.uow.edu.au/dicta2014/, https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding",

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Mohammed, N & Squire, DM 2014, An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval. in A Bouzerdoum, L Wang, P Ogunbona, W Li & SL Phung (eds), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, Danvers MA USA, pp. 1 - 8, Digital Image Computing Techniques and Applications 2014, Wollongong, New South Wales, Australia, 25/11/14. https://doi.org/10.1109/DICTA.2014.7008095

An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval. / Mohammed, Nabeel; Squire, David McGregor.

2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). ed. / Abdesselam Bouzerdoum; Lei Wang; Philip Ogunbona; Wanqing Li; Son Lam Phung. Danvers MA USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 1 - 8.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval

AU - Mohammed, Nabeel

AU - Squire, David McGregor

N1 - Conference code: 16th

PY - 2014

Y1 - 2014

UR - http://ieeexplore.ieee.org.ezproxy.lib.monash.edu.au/stamp/stamp.jsp?tp=&arnumber=7008095

U2 - 10.1109/DICTA.2014.7008095

DO - 10.1109/DICTA.2014.7008095

M3 - Conference Paper

SN - 9781479954094

SP - 1

EP - 8

BT - 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

A2 - Bouzerdoum, Abdesselam

A2 - Wang, Lei

A2 - Ogunbona, Philip

A2 - Li, Wanqing

A2 - Phung, Son Lam

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Danvers MA USA

T2 - Digital Image Computing Techniques and Applications 2014

Y2 - 25 November 2014 through 27 November 2014

ER -

Mohammed N, Squire DM. An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval. In Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SL, editors, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). Danvers MA USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 1 - 8 https://doi.org/10.1109/DICTA.2014.7008095

An evaluation of sparseness as a criterion for selecting independent component filters, when applied to texture retrieval

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