-
5
-
-
84865241218
-
Learning content similarity for music recommendation
-
Brian McFee, Luke Barrington, and Gert R. G. Lanckriet. Learning content similarity for music recommendation. IEEE Transactions on Audio, Speech & Language Processing, 20(8), 2012.
-
(2012)
IEEE Transactions on Audio, Speech & Language Processing
, vol.20
, Issue.8
-
-
McFee, B.1
Barrington, L.2
Lanckriet, G.G.R.3
-
11
-
-
84863380535
-
Unsupervised feature learning for audio classification using convolutional deep belief networks
-
Honglak Lee, Peter Pham, Yan Largman, and Andrew Ng. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems 22. 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
-
-
Lee, H.1
Pham, P.2
Largman, Y.3
Ng, A.4
-
18
-
-
84898956446
-
Large-scale music annotation and retrieval: Learning to rank in joint semantic spaces
-
Jason Weston, Samy Bengio, and Philippe Hamel. Large-scale music annotation and retrieval: Learning to rank in joint semantic spaces. Journal of New Music Research, 2011.
-
(2011)
Journal of New Music Research
-
-
Weston, J.1
Bengio, S.2
Hamel, P.3
-
19
-
-
57649180845
-
Content-based retrieval of music and audio
-
International Society for Optics and Photonics
-
Jonathan T Foote. Content-based retrieval of music and audio. In Voice, Video, and Data Communications, pages 138-147. International Society for Optics and Photonics, 1997.
-
(1997)
Voice, Video, and Data Communications
, pp. 138-147
-
-
Foote, J.T.1
-
22
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al. Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. Signal Processing Magazine, IEEE, 29(6):82-97, 2012.
-
(2012)
Signal Processing Magazine, IEEE
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
-
25
-
-
84857819132
-
Theano: A CPU and GPU math expression compiler
-
June
-
James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010.
-
(2010)
Proceedings of the Python for Scientific Computing Conference (SciPy)
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
26
-
-
84867720412
-
-
Technical report, University of Toronto
-
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. Technical report, University of Toronto, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
|