-
1
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
July
-
J. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. J. of Machine Learning Research, 12:2121-2159, July 2011.
-
(2011)
J. of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
3
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.3
-
4
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006.
-
(2006)
Science
-
-
Hinton, G.E.1
Salakhutdinov, R.2
-
5
-
-
77955708982
-
Content-partitioned structural similarity index for image quality assessment
-
C. Li and A. C. Bovik. Content-partitioned structural similarity index for image quality assessment. Image Communication, 25(7):517-526, 2010.
-
(2010)
Image Communication
, vol.25
, Issue.7
, pp. 517-526
-
-
Li, C.1
Bovik, A.C.2
-
6
-
-
84869436579
-
No-reference image quality assessment in the spatial domain
-
A. Mittal, A. Moorthy, and A. Bovik. No-reference image quality assessment in the spatial domain. Image Processing, IEEE Transactions on, 21(12):4695-4708, 2012.
-
(2012)
Image Processing IEEE Transactions on
, vol.21
, Issue.12
, pp. 4695-4708
-
-
Mittal, A.1
Moorthy, A.2
Bovik, A.3
-
7
-
-
84873400956
-
Making a completely blind image quality analyzer
-
A. Mittal, R. Soundararajan, and A. Bovik. Making a completely blind image quality analyzer. Signal Processing Letters, IEEE, 20(3):209-212, 2013.
-
(2013)
Signal Processing Letters, IEEE
, vol.20
, Issue.3
, pp. 209-212
-
-
Mittal, A.1
Soundararajan, R.2
Bovik, A.3
-
8
-
-
77950648432
-
A two-step framework for constructing blind image quality indices
-
A. K. Moorthy and A. C. Bovik. A two-step framework for constructing blind image quality indices. IEEE Signal Processing Letters, 17(5):513-516, 2010.
-
(2010)
IEEE Signal Processing Letters
, vol.17
, Issue.5
, pp. 513-516
-
-
Moorthy, A.K.1
Bovik, A.C.2
-
9
-
-
77956509090
-
Rectified linear units improve restricted boltzmann machines
-
V. Nair and G. E. Hinton. Rectified linear units improve restricted boltzmann machines. In ICML, 2010.
-
(2010)
ICML
-
-
Nair, V.1
Hinton, G.E.2
-
10
-
-
77954441176
-
Tid2008-a database for evaluation of full-reference visual quality assessment metrics
-
N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, and F. Battisti. Tid2008-a database for evaluation of full-reference visual quality assessment metrics. Advances of Modern Radioelectronics, 10:30-45, 2009.
-
(2009)
Advances of Modern Radioelectronics
, vol.10
, pp. 30-45
-
-
Ponomarenko, N.1
Lukin, V.2
Zelensky, A.3
Egiazarian, K.4
Carli, M.5
Battisti, F.6
-
11
-
-
84937442245
-
Using deep belief nets to learn covariance kernels for gaussian processes
-
R. Salakhutdinov and G. Hinton. Using deep belief nets to learn covariance kernels for gaussian processes. In NIPS, 2007.
-
(2007)
NIPS
-
-
Salakhutdinov, R.1
Hinton, G.2
-
14
-
-
80052870291
-
Learning a blind measure of perceptual image quality
-
H. Tang, N. Joshi, and A. Kapoor. Learning a blind measure of perceptual image quality. In Computer Vision and Pattern Recognition, IEEE Conference on, pages 305-312, 2011.
-
(2011)
Computer Vision and Pattern Recognition, IEEE Conference on
, pp. 305-312
-
-
Tang, H.1
Joshi, N.2
Kapoor, A.3
-
15
-
-
1942436689
-
Image quality assessment: From error visibility to structural similarity
-
Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Trans. on Image Processing, 3:600-612, 2004.
-
(2004)
IEEE Trans. on Image Processing
, vol.3
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.2
Sheikh, H.3
Simoncelli, E.4
-
16
-
-
84887337804
-
Learning without human scores for blind image quality assessment
-
W. Xue, L. Zhang, and X. Mou. Learning without human scores for blind image quality assessment. In CVPR, 2013.
-
(2013)
CVPR
-
-
Xue, W.1
Zhang, L.2
Mou, X.3
-
17
-
-
84866683924
-
Unsupervised feature learning framework for no-reference image quality assessment
-
P. Ye, J. Kumar, L. Kang, and D. S. Doermann. Unsupervised feature learning framework for no-reference image quality assessment. In CVPR, pages 1098-1105, 2012.
-
(2012)
CVPR
, pp. 1098-1105
-
-
Ye, P.1
Kumar, J.2
Kang, L.3
Doermann, D.S.4
|