Image segmentation via self-organizing map approximate and spectral clustering / Mashaan Alshammari...
Image segmentation via self-organizing map approximate and spectral clustering / Mashaan Alshammari...
Image segmentation via self-organizing map approximate and spectral clustering / Mashaan Alshammari and Masahiro Takatsuka.
About this item
Full title
Author / Creator
Publisher
Sydney : School of Information Technology, University of Sydney, September 2017.
Record Identifier
MMS ID
Language
English
Formats
Physical Description
Physical content
1 online resource (13 pages) : illustrations (some colour)
Content type
text
Media type
computer
Carrier type
online resource
Publication information
Publisher
Sydney : School of Information Technology, University of Sydney, September 2017.
Place of Publication
New South Wales
Date Published
September 2017.
Access and use
Access Conditions
National edeposit: Available online Unrestricted online access
Subjects
More information
Scope and Contents
Summary
"Identifying segments within an image is a fundamental task in computer vision. It could be efficiently approached by learning patterns in a given image. Unfortunately due to computational demands, some learning algorithms were incapable of tackling images with large number of pixels. One of these algorithms is spectral clustering which is able to...
Alternative Titles
Full title
Image segmentation via self-organizing map approximate and spectral clustering / Mashaan Alshammari and Masahiro Takatsuka.
Authors, Artists and Contributors
Author / Creator
Notes
General note
Technical report / School of Information Technologies ; 707
Includes bibliographical references.
System details note
Mode of access: Available online.
Identifiers
Primary Identifiers
Record Identifier
74VKVxoR7pBO
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VKVxoR7pBO
Other Identifiers
ISBN
9781742104201 pdf
MMS ID
991024248792002626
