Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vallejo, E. E."'
Autor:
Kirschel, A. N. G., Earl, D. A., Yao, Y., Escobar, I. A., Vilches, E., Vallejo, E. E., Taylor, C. E.
Publikováno v:
Bioacoustics
This study compares the ability of four classification methods to distinguish between songs of individual Mexican Antthrush Formicarius moniliger: self-organizing maps (SOMs), discriminant function analysis, fuzzy logic and hidden Markov models. Reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b5c25e43dc4a9a8f4ae0531ab9b3a5
https://doi.org/10.1080/09524622.2009.9753612
https://doi.org/10.1080/09524622.2009.9753612
Autor:
Kirschel, A. N. G., Cody, M. L., Harlow, Z. T., Promponas, Vasilis J., Vallejo, E. E., Taylor, C. E.
Publikováno v:
Ibis
The ability to monitor interactions between individuals over time can provide us with information on life histories, mating systems, behavioural interactions between individuals and ecological interactions with the environment. Tracking individuals o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4485::db033373ae56f93cf56be216bd4fae23
http://gnosis.library.ucy.ac.cy/handle/7/53182
http://gnosis.library.ucy.ac.cy/handle/7/53182
Publikováno v:
Journal of the Acoustical Society of America
J.Acoust.Soc.Am.
J.Acoust.Soc.Am.
Behavioral and ecological studies would benefit from the ability to automatically identify species from acoustic recordings. The work presented in this article explores the ability of hidden Markov models to distinguish songs from five species of ant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae2462ce7dc09569ad09f443edd17fd0
https://pubmed.ncbi.nlm.nih.gov/18397045
https://pubmed.ncbi.nlm.nih.gov/18397045
Publikováno v:
Vilches, Erika; Escobar, Ivan A.; Vallejo, E E; & Taylor, C E. (2006). Data Mining Applied to Acoustic Bird Species Recognition. Center for Embedded Network Sensing, 3, 400-403. doi: 10.1109/ICPR.2006.426. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/73s798t3
In this paper we explore the application of data mining techniques to the problem of acoustic recognition of bird species. Most bird song analysis tools produce a large amount of spectral and temporal attributes from the acoustic signal. The identifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::6b86cce5adf7335e9abd0951ba11a918
http://www.escholarship.org/uc/item/73s798t3
http://www.escholarship.org/uc/item/73s798t3
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16902ef0cf29a3f168f67b437da84133
http://www.scopus.com/inward/record.url?eid=2-s2.0-38149027034&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-38149027034&partnerID=MN8TOARS