-
2
-
-
33751531805
-
Aggregate features and Adaboost for music classification
-
J. Bergstra, N. Casagrande, D. Erhan, D. Eck, and B. Kegl. Aggregate features and Adaboost for music classification. Machine Learning, 65:473-484, 2006.
-
(2006)
Machine Learning
, vol.65
, pp. 473-484
-
-
Bergstra, J.1
Casagrande, N.2
Erhan, D.3
Eck, D.4
Kegl, B.5
-
3
-
-
33947656401
-
A pattern recognition approach for music style identification using shallow statistical descriptors
-
P. J. P. de León and J. M. Iñesta. A pattern recognition approach for music style identification using shallow statistical descriptors. IEEE Trans. on Systems Man and Cybernetics C, 37(2):248-257, 2007.
-
(2007)
IEEE Trans. on Systems Man and Cybernetics C
, vol.37
, Issue.2
, pp. 248-257
-
-
De León, P.J.P.1
Iñesta, J.M.2
-
6
-
-
0032021555
-
On combining classifiers
-
J. Kittler, M. Hatef, R. P. Duin, and J. Matas. On combining classifiers. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(3):226-239, 1998.
-
(1998)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.3
, pp. 226-239
-
-
Kittler, J.1
Hatef, M.2
Duin, R.P.3
Matas, J.4
-
8
-
-
84873586694
-
A cartesian ensemble of feature subspace classifiers for music categorization
-
Utrecht, Aug.
-
T. Lidy, R. Mayer, A. Rauber, P. J. P. de León, A. Pertusa, and J. M. Iñesta. A cartesian ensemble of feature subspace classifiers for music categorization. In Proc. ISMIR, Utrecht, Aug. 2010.
-
(2010)
Proc. ISMIR
-
-
Lidy, T.1
Mayer, R.2
Rauber, A.3
De León, P.J.P.4
Pertusa, A.5
Iñesta, J.M.6
-
9
-
-
84873596118
-
Improving genre classification by combination of audio and symbolic descriptors using a transcription system
-
Vienna, Austria
-
T. Lidy, A. Rauber, A. Pertusa, and J. Iñesta. Improving genre classification by combination of audio and symbolic descriptors using a transcription system. In Proc. ISMIR, Vienna, Austria, 2007.
-
(2007)
Proc. ISMIR
-
-
Lidy, T.1
Rauber, A.2
Pertusa, A.3
Iñesta, J.4
-
10
-
-
70350625330
-
Combination of audio and lyrics features for genre classification in digital audio collections
-
October 27-31
-
R. Mayer, R. Neumayer, and A. Rauber. Combination of audio and lyrics features for genre classification in digital audio collections. In Proc. ACM Multimedia 2008, pages 159-168, October 27-31 2008.
-
(2008)
Proc. ACM Multimedia 2008
, pp. 159-168
-
-
Mayer, R.1
Neumayer, R.2
Rauber, A.3
-
11
-
-
84873552024
-
Ace: A framework for optimizing music classification
-
London, UK
-
C. McKay, R. Fiebrink, D. McEnnis, B. Li, and I. Fujinaga. Ace: A framework for optimizing music classification. In Proc. ISMIR, London, UK, 2005.
-
(2005)
Proc. ISMIR
-
-
McKay, C.1
Fiebrink, R.2
McEnnis, D.3
Li, B.4
Fujinaga, I.5
-
12
-
-
33749643850
-
Comparison of classifier fusion methods for classification in pattern recognition tasks
-
F. Moreno-Seco, J. M. Iñesta, P. P. de León, and L. Micó. Comparison of classifier fusion methods for classification in pattern recognition tasks. LNCS, 4109:705-713, 2006.
-
(2006)
LNCS
, vol.4109
, pp. 705-713
-
-
Moreno-Seco, F.1
Iñesta, J.M.2
De León, P.P.3
Micó, L.4
-
13
-
-
70449674483
-
Genre classification using chords and stochastic language models
-
C. Perez-Sancho, D. Rizo, and J. M. Iñesta. Genre classification using chords and stochastic language models. Connection Science, 21(2 & 3):145-159, 2009.
-
(2009)
Connection Science
, vol.21
, Issue.2-3
, pp. 145-159
-
-
Perez-Sancho, C.1
Rizo, D.2
Iñesta, J.M.3
-
14
-
-
51449099172
-
Multiple fundamental frequency estimation using Gaussian smoothness
-
Las Vegas, USA
-
A. Pertusa and J. M. Iñesta. Multiple fundamental frequency estimation using Gaussian smoothness. In Proc. IEEE ICASSP, Las Vegas, USA, 2008.
-
(2008)
Proc. IEEE ICASSP
-
-
Pertusa, A.1
Iñesta, J.M.2
-
16
-
-
1942451938
-
Feature selection for high-dimensional data: A fast correlation-based filter solution
-
L. Yu and H. Liu. Feature selection for high-dimensional data: A fast correlation-based filter solution. In Proc. ICML, pages 856-863, 2003.
-
(2003)
Proc. ICML
, pp. 856-863
-
-
Yu, L.1
Liu, H.2
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