Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Walshaw Chris"'
Publikováno v:
Open Computer Science, Vol 9, Iss 1, Pp 200-211 (2019)
The use of data driven techniques is popular in smart manufacturing. Machine learning, statistics or a combination of both have been used to improve processes in electronic manufacturing. This paper presents the application of classical techniques to
Externí odkaz:
https://doaj.org/article/b2aa706beacd4de3acd4d765edfa9f07
Akademický článek
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Publikováno v:
2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE).
Failure Mode & Effect Analysis (FMEA) is a method that has been used to improve reliability of products, processes, designs, and software for different applications, including electronics manufacturing. In this paper we propose a modification of this
Autor:
Walshaw, Chris
This paper investigates several enhancements to two well-established local alignment algorithms in the context of their use for melodic similarity. It uses the annotated dataset from the well-known Meertens Tune Collection to provide a ground truth a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::ff2438f150f961c03335036713a5474d
Publikováno v:
In Parallel Computing 2000 26(12):1555-1581
Autor:
Walshaw, Chris1 c.walshaw@gre.ac.uk
Publikováno v:
Operations Research. Sep/Oct2002, Vol. 50 Issue 5, p862. 16p. 3 Diagrams, 7 Charts, 2 Graphs.
Autor:
Walshaw, Chris1 C.Walshaw@gre.ac.uk
Publikováno v:
Annals of Operations Research. Oct2004, Vol. 131 Issue 1-4, p325-372. 48p. 13 Graphs.
Autor:
Walshaw, Chris
Publikováno v:
6th International Workshop in Folk Music Analysis
Papers
Papers
This paper investigates the construction of proximity graphs in order to allow users to explore similarities in melodic datasets. A key part of this investigation is the use of a multilevel framework for measuring similarity in symbolic musical repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3bcbee0644305028ac1b85c198ceafa
Autor:
Walshaw, Chris
This paper presents TuneGraph, an online visual tool for exploring melodic similarity. The underlying data comes from a large index of online music, all transcribed in abc notation, and TuneGraph uses a melodic similarity metric to derive a proximity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::f17cfc77f49e0e1755b984c03f0ed5c7
http://gala.gre.ac.uk/id/eprint/14021/1/14021_WALSHAW_TuneGraph_2014.pdf
http://gala.gre.ac.uk/id/eprint/14021/1/14021_WALSHAW_TuneGraph_2014.pdf
Autor:
Walshaw, Chris
This paper describes a multilevel algorithm for matching tunes when performing inexact searches in symbolic mu-sical data. The basis of the algorithm is straightforward: initially each tune in the search database is normalised and quantised and then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::8eb6e81d4470f17618eef188c6da5055
http://gala.gre.ac.uk/id/eprint/14023/1/14023_WALSHAW_Multilevel_Melodic_Matching_2015.pdf
http://gala.gre.ac.uk/id/eprint/14023/1/14023_WALSHAW_Multilevel_Melodic_Matching_2015.pdf