-
1
-
-
85066199957
-
Representing musical genre: A state of the art
-
J. J. Aucouturier and F. Pachet, "Representing musical genre: A state of the art," J. New Music Res., pp. 83-93, 2003.
-
(2003)
J. New Music Res
, pp. 83-93
-
-
Aucouturier, J.J.1
Pachet, F.2
-
2
-
-
79952972450
-
A survey of audio-based music classification and annotation
-
Z. Fu, G. Lu, K. M. Ting, and D. Zhang, "A survey of audio-based music classification and annotation," IEEE Trans. Multimedia, vol. 13, no. 2, pp. 303-319, 2011.
-
(2011)
IEEE Trans. Multimedia
, vol.13
, Issue.2
, pp. 303-319
-
-
Fu, Z.1
Lu, G.2
Ting, K.M.3
Zhang, D.4
-
3
-
-
85032752479
-
Automatic genre classification of music content: A survey
-
Mar
-
N. Scaringella, G. Zoia, and D. Mlynek, "Automatic genre classification of music content: A survey," IEEE Signal Process. Mag., vol. 23, no. 2, pp. 133-141, Mar. 2006.
-
(2006)
IEEE Signal Process. Mag
, vol.23
, Issue.2
, pp. 133-141
-
-
Scaringella, N.1
Zoia, G.2
Mlynek, D.3
-
5
-
-
76949097407
-
Non-negative multilinear principal component analysis of auditory temporal modulations formusic genre classification
-
Mar
-
Y. Panagakis, C. Kotropoulos, and G. R. Arce, "Non-negative multilinear principal component analysis of auditory temporal modulations formusic genre classification," IEEE Trans. Audio, Speech, Lang.Technol., vol. 18, no. 3, pp. 576-588, Mar. 2010.
-
(2010)
IEEE Trans. Audio, Speech, Lang.Technol
, vol.18
, Issue.3
, pp. 576-588
-
-
Panagakis, Y.1
Kotropoulos, C.2
Arce, G.R.3
-
6
-
-
84873599467
-
Scalable genre and tag prediction with spectral covariance
-
J. Bergstra, M. Mandel, and D. Eck, "Scalable genre and tag prediction with spectral covariance," in Proc. 11th Int. Symp.Music Inf. Retrieval, 2010, pp. 507-512.
-
(2010)
Proc. 11th Int. Symp.Music Inf. Retrieval
, pp. 507-512
-
-
Bergstra, J.1
Mandel, M.2
Eck, D.3
-
7
-
-
70349129938
-
Improving music genre classification using collaborative tagging data
-
L. Chen, P. Wright, and W. Nejdl, "Improving music genre classification using collaborative tagging data," in Proc. ACM 2nd Int. Conf.Web Search and Data Mining, 2009, pp. 84-93.
-
(2009)
Proc. ACM 2nd Int. Conf.Web Search and Data Mining
, pp. 84-93
-
-
Chen, L.1
Wright, P.2
Nejdl, W.3
-
8
-
-
39649092019
-
Musical genre classification using nonnegative matrix factorization-based features
-
Feb
-
A. Holzapfel and Y. Stylianou, "Musical genre classification using nonnegative matrix factorization-based features," IEEE Trans. Audio, Speech, Lang. Process., vol. 16, no. 2, pp. 424-434, Feb. 2008.
-
(2008)
IEEE Trans. Audio, Speech, Lang. Process
, vol.16
, Issue.2
, pp. 424-434
-
-
Holzapfel, A.1
Stylianou, Y.2
-
9
-
-
80052114328
-
From multi-labeling to multi-domain-laneling: A novel two-dimensional approach to music genre classification
-
H. Lukashevich, J. Abeber, C. Dittmar, and H. Grossmann, "From multi-labeling to multi-domain-laneling: A novel two-dimensional approach to music genre classification," in Proc. 10th Int. Conf. Music Inf. Retrieval, 2009, pp. 459-464.
-
(2009)
Proc. 10th Int. Conf. Music Inf. Retrieval
, pp. 459-464
-
-
Lukashevich, H.1
Abeber, J.2
Dittmar, C.3
Grossmann, H.4
-
10
-
-
84906754970
-
Using block-level features for genre classification, tag classification and music similarity estimation
-
K. Seyerlehner, M. Schedl, T. Pohle, and P. Knees, "Using block-level features for genre classification, tag classification and music similarity estimation," in Proc. 11th Int. Symp. Music Inf. Retrieval (MIREX), 2010.
-
(2010)
Proc. 11th Int. Symp. Music Inf. Retrieval (MIREX)
-
-
Seyerlehner, K.1
Schedl, M.2
Pohle, T.3
Knees, P.4
-
11
-
-
0036648502
-
Musical genre classification of audio signals
-
Jul
-
G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Trans. Speech Audio Process., vol. 10, no. 5, pp. 293-302, Jul. 2002.
-
(2002)
IEEE Trans. Speech Audio Process
, vol.10
, Issue.5
, pp. 293-302
-
-
Tzanetakis, G.1
Cook, P.2
-
13
-
-
78449290166
-
Music genre classification using the temporal structure of songs
-
D. Garcia-Garcia, J. Arenas-Garcia, E. Parrado-Hernandez, and F.Diaz-de Maria, "Music genre classification using the temporal structure of songs," in Proc. IEEE 20th Int. Workshop Mach. Learn. Signal Process., 2010, pp. 266-271.
-
(2010)
Proc. IEEE 20th Int. Workshop Mach. Learn. Signal Process
, pp. 266-271
-
-
Garcia-Garcia, D.1
Arenas-Garcia, J.2
Parrado-Hernandez, E.3
Maria F.Diaz-de4
-
14
-
-
67349176070
-
Automaticmusic genre classification based onmodulation spectral analysis of spectral and cepstral features
-
Jun
-
C.H. Lee, J. L. Shih, K.M. Yu, and H. S. Lin, "Automaticmusic genre classification based onmodulation spectral analysis of spectral and cepstral features," IEEE Trans. Multimedia, vol. 11, no. 4, pp. 670-682, Jun. 2009.
-
(2009)
IEEE Trans. Multimedia
, vol.11
, Issue.4
, pp. 670-682
-
-
Lee, C.H.1
Shih, J.L.2
Yu, K.M.3
Lin, H.S.4
-
15
-
-
84863807125
-
Musical genre classification based on a highly-resolved cepstral modulation spectrum
-
A. Nagathil, T. Gerkmann, and R. Martin, "Musical genre classification based on a highly-resolved cepstral modulation spectrum," in Proc. 18th Eur. Signal Process. Conf., Aalborg, Denmark, 2010, pp.462-466.
-
(2010)
Proc. 18th Eur. Signal Process. Conf., Aalborg, Denmark
, pp. 462-466
-
-
Nagathil, A.1
Gerkmann, T.2
Martin, R.3
-
16
-
-
79960675858
-
Robust principal component analysis?
-
E. J. Candes, X. Li, Y. Ma, and J.Wright, "Robust principal component analysis?," J. ACM, vol. 58, no. 3, pp. 1-37, 2011.
-
(2011)
J. ACM
, vol.58
, Issue.3
, pp. 1-37
-
-
Candes, E.J.1
Li, X.2
Ma, Y.3
Wright, J.4
-
17
-
-
84870197517
-
Robust recovery of subspace structures by low-rank representation
-
Jan
-
G. Liu, Z. Lin, S. Yan, J. Sun, and Y. Ma, "Robust recovery of subspace structures by low-rank representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 171-184, Jan. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.35
, Issue.1
, pp. 171-184
-
-
Liu, G.1
Lin, Z.2
Yan, S.3
Sun, J.4
Ma, Y.5
-
18
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb
-
J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal.Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Anal.Mach. Intell
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
19
-
-
33744552752
-
For most large underdetermined systems of equations, the minimal -norm near-solution approximates the sparsest near-solution
-
D. Donoho, "For most large underdetermined systems of equations, the minimal -norm near-solution approximates the sparsest near-solution," Commun. Pure Appl. Math., vol. 59, no. 7, pp. 907-934, 2006.
-
(2006)
Commun. Pure Appl. Math
, vol.59
, Issue.7
, pp. 907-934
-
-
Donoho, D.1
-
20
-
-
78149282850
-
Linear regression for face recognition
-
Nov
-
I. Naseem, R. Togneri, and M. Bennamoun, "Linear regression for face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 11, pp. 2106-2112, Nov. 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.32
, Issue.11
, pp. 2106-2112
-
-
Naseem, I.1
Togneri, R.2
Bennamoun, M.3
-
21
-
-
84884541998
-
Sparse subspace clustering: Algorithm, theory, and applications
-
Nov
-
E. Elhamifar and R. Vidal, "Sparse subspace clustering: Algorithm, theory, and applications," IEEE Trans. Pattern Anal.Mach. Intell., vol.35, no. 11, pp. 2765-2781, Nov. 2013.
-
(2013)
IEEE Trans. Pattern Anal.Mach. Intell
, vol.35
, Issue.11
, pp. 2765-2781
-
-
Elhamifar, E.1
Vidal, R.2
-
22
-
-
34047272330
-
Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations
-
Mar
-
S. Shamma, N. Mesgarani, and M. Slaney, "Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations," IEEE Trans. Audio, Speech, Lang. Process., vol. 14, no. 3, pp. 920-930, Mar. 2006.
-
(2006)
IEEE Trans. Audio, Speech, Lang. Process
, vol.14
, Issue.3
, pp. 920-930
-
-
Shamma, S.1
Mesgarani, N.2
Slaney, M.3
-
23
-
-
0009985115
-
Mel frequency cepstral coefficients for music modeling
-
B. Logan, "Mel frequency cepstral coefficients for music modeling," in Proc. 1st Int. Symp. Music Inf. Retrieval, 2000, pp. 663-670.
-
(2000)
Proc. 1st Int. Symp. Music Inf. Retrieval
, pp. 663-670
-
-
Logan, B.1
-
24
-
-
54249122834
-
Automatic transcription ofmelody, bass line, and chords in polyphonic music
-
M. Ryynanen and A. Klapuri, "Automatic transcription ofmelody, bass line, and chords in polyphonic music," Comput. Music J., vol. 32, no.3, pp. 72-86, 2008.
-
(2008)
Comput. Music J
, vol.32
, Issue.3
, pp. 72-86
-
-
Ryynanen, M.1
Klapuri, A.2
-
25
-
-
85032750831
-
Auditory perception and cognition
-
R. Munkong and J. Biing-Hwang, "Auditory perception and cognition," IEEE Signal Process. Mag., vol. 25, no. 3, pp. 98-117, 2008.
-
(2008)
IEEE Signal Process. Mag
, vol.25
, Issue.3
, pp. 98-117
-
-
Munkong, R.1
Biing-Hwang, J.2
-
26
-
-
84905163906
-
Constant-q transform toolbox for music processing
-
Barcelona, Spain
-
C. Schoerkhuber and A. Klapuri, "Constant-Q transform toolbox for music processing," in 7th Sound Music Comput. Conf., Barcelona, Spain, 2010.
-
(2010)
7th Sound Music Comput. Conf
-
-
Schoerkhuber, C.1
Klapuri, A.2
-
27
-
-
84873528643
-
Song-level features and support vector machines for music classification
-
M. Mandel and D. Ellis, "Song-level features and support vector machines for music classification," in Proc. 6th Int. Conf. Music Inf. Retrieval, 2005, pp. 594-599.
-
(2005)
Proc. 6th Int. Conf. Music Inf. Retrieval
, pp. 594-599
-
-
Mandel, M.1
Ellis, D.2
-
28
-
-
0029291966
-
Sparse approximate solutions to linear systems
-
B. K. Natarajan, "Sparse approximate solutions to linear systems," SIAM J. Comput., vol. 24, no. 2, pp. 227-234, 1995.
-
(1995)
SIAM J. Comput
, vol.24
, Issue.2
, pp. 227-234
-
-
Natarajan, B.K.1
-
29
-
-
0030106462
-
Semidefinite programming
-
L. Vandenberghe and S. Boyd, "Semidefinite programming," SIAM Rev., vol. 38, no. 1, pp. 49-95, 1996.
-
(1996)
SIAM Rev
, vol.38
, Issue.1
, pp. 49-95
-
-
Vandenberghe, L.1
Boyd, S.2
-
30
-
-
0142257025
-
-
Ph.D. dissertation, Dept. Elect. Eng., Stanford Univ., Stanford, CA, USA
-
M. Fazel, "Matrix Rank Minimization with Applications," Ph.D. dissertation, Dept. Elect. Eng., Stanford Univ., Stanford, CA, USA, 2002.
-
(2002)
Matrix Rank Minimization with Applications
-
-
Fazel, M.1
-
31
-
-
77953803524
-
Dense error correction via -minimization
-
Jul
-
J. Wright and Y. Ma, "Dense error correction via -minimization," IEEE Trans. Inf. Theory, vol. 56, no. 7, pp. 3540-3560, Jul. 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, Issue.7
, pp. 3540-3560
-
-
Wright, J.1
Ma, Y.2
-
32
-
-
84856895585
-
Rank awareness in joint sparse recovery
-
Feb
-
M. Davies and Y. Eldar, "Rank awareness in joint sparse recovery," IEEE Trans. Inf. Theory, vol. 58, no. 2, pp. 1135-1146, Feb. 2012.
-
(2012)
IEEE Trans. Inf. Theory
, vol.58
, Issue.2
, pp. 1135-1146
-
-
Davies, M.1
Eldar, Y.2
-
33
-
-
84867612793
-
Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery
-
Kyoto, Japan
-
M. Golbabaee and P. Vandergheynst, "Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery," in Proc. IEEE Int. Conf. Acoust, Speech, Signal Process., Kyoto, Japan, 2012, pp. 2741-2744.
-
(2012)
Proc. IEEE Int. Conf. Acoust, Speech, Signal Process
, pp. 2741-2744
-
-
Golbabaee, M.1
Vandergheynst, P.2
-
34
-
-
85162008777
-
Robust pca via outlier pursuit
-
Vancouver, BC, Canada
-
H. Xu, C. Caramanis, and S. Sanghavi, "Robust PCA via outlier pursuit," in Proc. Neural Inf. Process. Syst.,Vancouver, BC, Canada, 2010, pp. 2496-2504.
-
(2010)
Proc. Neural Inf. Process. Syst
, pp. 2496-2504
-
-
Xu, H.1
Caramanis, C.2
Sanghavi, S.3
-
35
-
-
84862748797
-
Robust video restoration by joint sparse and low rank matrix approximation
-
H. Ji, S. Huang, Z. Shen, and Y. Xu, "Robust video restoration by joint sparse and low rank matrix approximation," SIAM J. Imag. Sci., vol. 4, no. 4, pp. 1122-1142, 2011.
-
(2011)
SIAM J. Imag. Sci
, vol.4
, Issue.4
, pp. 1122-1142
-
-
Ji, H.1
Huang, S.2
Shen, Z.3
Xu, Y.4
-
37
-
-
84867875661
-
Repairing sparse low-rank texture
-
X. Liang, X. Ren, Z. Zhang, and Y. Ma, "Repairing sparse low-rank texture," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 482-495, Part V.
-
(2012)
Proc. Eur. Conf. Comput. Vis
, pp. 482-495
-
-
Liang, X.1
Ren, X.2
Zhang, Z.3
Ma, Y.4
-
38
-
-
84867865809
-
Low-rank sparse learning for robust visual tracking
-
T. Zhang, B. Ghanem, S. Liu, and N. Ahuja, "Low-rank sparse learning for robust visual tracking," in Proc. Eur. Conf. Comput. Vis., 2012, pp.470-484, Part VI.
-
(2012)
Proc. Eur. Conf. Comput. Vis
, pp. 470-484
-
-
Zhang, T.1
Ghanem, B.2
Liu, S.3
Ahuja, N.4
-
39
-
-
84897917530
-
Low-rank decomposition and laplacian group sparse coding for image classification
-
L. Zhang and C. Ma, "Low-rank decomposition and Laplacian group sparse coding for image classification," Neurocomputing, vol. 135, pp.339-347, 2014.
-
(2014)
Neurocomputing
, vol.135
, pp. 339-347
-
-
Zhang, L.1
Ma, C.2
-
40
-
-
84901491679
-
A simplified low rank and sparse graph for semi-supervised learning
-
M. Zhao, L. Jiao, J. Feng, and T. Liu, "A simplified low rank and sparse graph for semi-supervised learning," Neurocomputing, vol. 135, pp.84-96, 2014.
-
(2014)
Neurocomputing
, vol.135
, pp. 84-96
-
-
Zhao, M.1
Jiao, L.2
Feng, J.3
Liu, T.4
-
41
-
-
79960591511
-
Ranksparsity incoherence formatrix decomposition
-
V. Chandrasekaran, S. Sanghavi, P. Parrilo, and A. S.Willsky, "Ranksparsity incoherence formatrix decomposition," SIAM J. Optimization, vol. 21, no. 2, pp. 572-596, 2011.
-
(2011)
SIAM J. Optimization
, vol.21
, Issue.2
, pp. 572-596
-
-
Chandrasekaran, V.1
Sanghavi, S.2
Parrilo, P.3
Willsky, A.S.4
-
42
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
I. Daubechies, M. Defrise, and C. De Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint," Commun. Pure Appl. Math., vol. 57, no. 11, pp. 1413-1457, 2004.
-
(2004)
Commun. Pure Appl. Math
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Defrise, M.2
De Mol, C.3
-
43
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding algorithm for linear inverse problems," SIAM J. Img. Sci., vol. 2, no. 1, pp. 183-202, 2009.
-
(2009)
SIAM J. Img. Sci
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
44
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
May, submitted for publication
-
P. Tseng, "On accelerated proximal gradient methods for convex-concave optimization," SIAM J. Optimiz., May 2008, submitted for publication.
-
(2008)
SIAM J. Optimiz
-
-
Tseng, P.1
-
45
-
-
84871450765
-
Linearized augmented lagrangian and alternating direction methods for nuclear norm minimization
-
J. Yang and X. M. Yuan, "Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization," Math.Comput., vol. 82, no. 281, pp. 301-329, 2013.
-
(2013)
Math.Comput
, vol.82
, Issue.281
, pp. 301-329
-
-
Yang, J.1
Yuan, X.M.2
-
47
-
-
84879044578
-
Fast -minimization algorithms for robust face recognition
-
A. Yang, Z. Zhou, A. Balasubramanian, S. Sastry, and Y. Ma, "Fast -minimization algorithms for robust face recognition," IEEE Trans Image Process., vol. 22, no. 8, pp. 3234-3246, 2013.
-
(2013)
IEEE Trans Image Process
, vol.22
, Issue.8
, pp. 3234-3246
-
-
Yang, A.1
Zhou, Z.2
Balasubramanian, A.3
Sastry, S.4
Ma, Y.5
-
48
-
-
85024122496
-
A fast algorithm for edgepreserving variational multichannel image restoration
-
J. Yang, W. Yin, Y. Zhang, and Y. Wang, "A fast algorithm for edgepreserving variational multichannel image restoration," SIAM J. Img.Sci., vol. 2, no. 2, pp. 569-592, 2009.
-
(2009)
SIAM J. Img.Sci
, vol.2
, Issue.2
, pp. 569-592
-
-
Yang, J.1
Yin, W.2
Zhang, Y.3
Wang, Y.4
-
49
-
-
84873546054
-
A benchmark dataset for audio classification and clustering
-
H. Homburg, I. Mierswa, B. Moller, K. Morik, and M. Wurst, "A benchmark dataset for audio classification and clustering," in Proc.6th Int. Conf. Music Inf. Retrieval, 2005, pp. 528-531.
-
(2005)
Proc.6th Int. Conf. Music Inf. Retrieval
, pp. 528-531
-
-
Homburg, H.1
Mierswa, I.2
Moller, B.3
Morik, K.4
Wurst, M.5
-
50
-
-
33846278174
-
Towards characterisation of music via rhythmic patterns
-
Barcelona, Spain
-
S. Dixon, F. Gouyon, and G. Widmer, "Towards characterisation of music via rhythmic patterns," in Proc. Int. Conf. Music Inf. Retrieval, Barcelona, Spain, 2004, pp. 509-516.
-
(2004)
Proc. Int. Conf. Music Inf. Retrieval
, pp. 509-516
-
-
Dixon, S.1
Gouyon, F.2
Widmer, G.3
-
51
-
-
33846167886
-
Dance music classification: A tempo-based approach
-
Barcelona, Spain
-
F. Gouyon and S. Dixon, "Dance music classification: A tempo-based approach," in Proc. Int. Conf. Music Inf. Retrieval, Barcelona, Spain, 2004.
-
(2004)
Proc. Int. Conf. Music Inf. Retrieval
-
-
Gouyon, F.1
Dixon, S.2
-
52
-
-
79953270840
-
Beyond timbral statistics: Improving music classification using percussive patterns and bass lines
-
May
-
E. Tsunoo, G. Tzanetakis, N. Ono, and S. Sagayama, "Beyond timbral statistics: Improving music classification using percussive patterns and bass lines," IEEE Trans. Audio, Speech, Lang. Process., vol. 19, no. 4, pp. 1003-1014, May 2011.
-
(2011)
IEEE Trans. Audio, Speech, Lang. Process
, vol.19
, Issue.4
, pp. 1003-1014
-
-
Tsunoo, E.1
Tzanetakis, G.2
Ono, N.3
Sagayama, S.4
-
53
-
-
77956580684
-
Effects of album and artist filters in audio similarity computed for very large music databases
-
A. Flexer and D. Schnitzer, "Effects of album and artist filters in audio similarity computed for very large music databases," Comput. Music J., vol. 34, pp. 20-28, 2010.
-
(2010)
Comput. Music J
, vol.34
, pp. 20-28
-
-
Flexer, A.1
Schnitzer, D.2
-
54
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, "Regression shrinkage and selection via the LASSO," J.R. Statist. Soc B., vol. 58, no. 1, pp. 267-288, 1996.
-
(1996)
J.R. Statist. Soc B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
55
-
-
27144463192
-
On comparing classifiers: Pitfalls to avoid and a recommended approach
-
S. L. Salzberg, "On comparing classifiers: Pitfalls to avoid and a recommended approach," Data Mining Knowl. Discov., vol. 1, no. 3, pp.317-328, 1997.
-
(1997)
Data Mining Knowl. Discov
, vol.1
, Issue.3
, pp. 317-328
-
-
Salzberg, S.L.1
-
56
-
-
84887048218
-
Music classification by low-rank semantic mappings
-
Y. Panagakis and C. Kotropoulos, "Music classification by low-rank semantic mappings," EURASIP J. Audio, Speech, Music Process., vol.3, 2013, doi:10.1186/1687-4722-2013-13.
-
(2013)
EURASIP J. Audio, Speech, Music Process
, vol.3
-
-
Panagakis, Y.1
Kotropoulos, C.2
-
58
-
-
85139271711
-
Fusing block-level features for music similarity estimation
-
K. Seyerlehner, G.Widmer, and T. Pohle, "Fusing block-level features for music similarity estimation," in Proc. 13th Int. Conf. Digital Audio Effects, 2010, pp. 528-531.
-
(2010)
Proc. 13th Int. Conf. Digital Audio Effects
, pp. 528-531
-
-
Seyerlehner, K.1
Widmer, W.2
Pohle, T.3
-
61
-
-
84873545114
-
Improvements of audio-based music similarity and genre classification
-
E. Pampalk, A. Flexer, and G.Widmer, "Improvements of audio-based music similarity and genre classification," in Proc. 6th Int. Conf.Music Inf. Retrieval, 2005, pp. 628-633.
-
(2005)
Proc. 6th Int. Conf.Music Inf. Retrieval
, pp. 628-633
-
-
Pampalk, E.1
Flexer, A.2
Widmer, G.3
-
62
-
-
77952743002
-
Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective
-
Jun
-
R. G. Baraniuk, V. Cevher, and M. B. Wakin, "Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective," Proc. IEEE, vol. 98, no. 6, pp. 959-971, Jun. 2010.
-
(2010)
Proc. IEEE
, vol.98
, Issue.6
, pp. 959-971
-
-
Baraniuk, R.G.1
Cevher, V.2
Wakin, M.B.3
|