Login
Skip to main content
Study
Research
Business
Uni Life
International
Students/Staff
Login
Home
About
Help
Search
Simple
Advanced
Thesis
Browse
School
Author
Year
Subject
Study
Research
Business
Uni Life
International
Students/Staff
Meme Hunting with the Humdrum Toolkit: Principles, Problems, and Prospects
Jan, Steven
(2004)
Meme Hunting with the Humdrum Toolkit: Principles, Problems, and Prospects.
Computer Music Journal, 28 (4). pp. 68-84. ISSN 0148-9267
Information
Library
Statistics
Documents
[+]
[-]
Information
URI:
https://eprints.hud.ac.uk/id/eprint/1485
Title:
Meme Hunting with the Humdrum Toolkit: Principles, Problems, and Prospects
Creators:
Jan, Steven
Identification Number:
10.1162/0148926042728403
Official URL:
http://dx.doi.org/10.1162/0148926042728403
Date:
2004
Subjects:
M Music and Books on Music
>
M Music
Q Science
>
QA Mathematics
>
QA75 Electronic computers. Computer science
Q Science
>
QA Mathematics
>
QA76 Computer software
Schools:
School of Music, Humanities and Media
Library
Item Type:
Article
Depositing User:
Cherry Edmunds
Date Deposited:
13 Aug 2008 12:03
Revision:
320
Last Modified:
02 Sep 2025 08:00
Documents
Preview
0148926042728403.pdf
-
Published Version
Download (359kB)
|
Preview
Statistics
Downloads
Downloads per month over past year
View Item (login required)
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
Tools
Tools
Tools
MODS
HTML Citation
OpenURL ContextObject
RDF+N3
EP3 XML
RefWorks
OpenURL ContextObject in Span
BibTeX
EndNote
Dublin Core
METS
ASCII Citation
MPEG-21 DIDL
RIOXX2 XML
RDF+XML
JSON
RDF+N-Triples
Refer
Multiline CSV
Simple Metadata
Reference Manager