Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kaestner, Celso A.A."'
Autor:
Lidy, Thomas, Silla, Carlos N., Jr., Cornelis, Olmo, Gouyon, Fabien, Rauber, Andreas, Kaestner, Celso A.A., Koerich, Alessandro L.
Publikováno v:
In Signal Processing 2010 90(4):1032-1048
Publikováno v:
In Electronic Notes in Theoretical Computer Science 2 December 2009 256:87-102
Publikováno v:
11th Brazilian Symposium on Computer Music
In this paper we present the Latin Music Database, a novel database of Latin musical recordings which was developed for automatic music genre classification but can also be used to other tasks related to music information retrieval (MIR) research. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::4c7be1524d180d72103e0b39203c9e12
https://kar.kent.ac.uk/24092/1/LatinSilla.pdf
https://kar.kent.ac.uk/24092/1/LatinSilla.pdf
Publikováno v:
Anais do XXVI Congresso da Sociedade Brasileira de Computação-XXXIII Seminário Integrado de Software e Hardware
This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e634bde7229f44ca89f2c14406b344d5
https://kar.kent.ac.uk/24094/1/AutomaticSillaJr.pdf
https://kar.kent.ac.uk/24094/1/AutomaticSillaJr.pdf
This paper presents a study that uses meta-learning techniques to the task of automatic music genre classification. The meta-learning techniques we used are Bagging and Boosting. In both cases the component classifiers used in both approaches are Dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::3971f0587f869b0ee1c9a6ec84455e92
https://kar.kent.ac.uk/24118/1/ClassiCarlos.pdf
https://kar.kent.ac.uk/24118/1/ClassiCarlos.pdf
The second goal of this paper is to report the result of evaluating MineKit in a real-world data set. This case study is relevant for data mining mainly for two reasons. First, the original data set, li ke a typical realworld data set, was not previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::c90d0a7b94a618896d426b4fc3a65fd7
https://kar.kent.ac.uk/21997/1/The_integrated_data_mining_tool_MineKit_and_a_case_study_of_its_application_on_video_shop_data.ps
https://kar.kent.ac.uk/21997/1/The_integrated_data_mining_tool_MineKit_and_a_case_study_of_its_application_on_video_shop_data.ps
Autor:
Evangelista, Thiago L.F., Priolli, Thales M., Jr, Carlos N. Silla, Angelico, Bruno A., Kaestner, Celso A.A.
Publikováno v:
2014 IEEE International Symposium on Multimedia; 2014, p223-228, 6p
Publikováno v:
2012 Brazilian Symposium on Neural Networks; 1/ 1/2012, p184-189, 6p
Publikováno v:
Computational Linguistics & Intelligent Text Processing (9783540322054); 2006, p132-143, 12p
Publikováno v:
ENTCS: Electronic Notes in Theoretical Computer Science; Dec2009, Vol. 256, p87-102, 16p