-
1
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
October
-
Lee, D.D., And Seung, H. S. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755 (October 1999), 788-791.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
And Seung, H.S.2
-
2
-
-
69949180526
-
Face Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
-
Wei Liu, Dahua Lin, and Xiaoou Tang. Face Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation. Proc. CVPR, 2006.
-
(2006)
Proc. CVPR
-
-
Liu, W.1
Lin, D.2
Tang, X.3
-
4
-
-
0007996259
-
-
Ph.D. Thesis, Department of Eng. Science, University of Oxford
-
D. Capel. Image mosaicing and super-resolution. Ph.D. Thesis, Department of Eng. Science, University of Oxford, 2001.
-
(2001)
Image mosaicing and super-resolution
-
-
Capel, D.1
-
5
-
-
5044219639
-
Super-resolution through neighbor embedding
-
H. Chang, D.-Y. Yeung, and Y. Xiong. Super-resolution through neighbor embedding. CVPR, 2004.
-
(2004)
CVPR
-
-
Chang, H.1
Yeung, D.-Y.2
Xiong, Y.3
-
6
-
-
33646365077
-
1-norm solution is also the sparsest solution
-
1-norm solution is also the sparsest solution. Comm. on Pure and Applied Math, Vol. 59, No. 6, 2006.
-
(2006)
Comm. on Pure and Applied Math
, vol.59
, Issue.6
-
-
Donoho, D.L.1
-
7
-
-
69949185695
-
-
1-norm near-solution approximates the sparsest near-solution. Preprint, accessed at http://www-stat.stanford.edu/donoho/. 2004.
-
1-norm near-solution approximates the sparsest near-solution. Preprint, accessed at http://www-stat.stanford.edu/donoho/. 2004.
-
-
-
-
9
-
-
0036500772
-
Example-based super-resolution
-
W. T. Freeman, T. R. Jones, and E. C. Pasztor. Example-based super-resolution. IEEE Computer Graphics and Applications, Vol. 22, Issue 2, 2002.
-
(2002)
IEEE Computer Graphics and Applications
, vol.22
, Issue.2
-
-
Freeman, W.T.1
Jones, T.R.2
Pasztor, E.C.3
-
10
-
-
51949088475
-
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
-
R.C. Hardie, K.J. Barnard, and E.A. Armstrong. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images. IEEE TIP, 1997.
-
(1997)
IEEE TIP
-
-
Hardie, R.C.1
Barnard, K.J.2
Armstrong, E.A.3
-
11
-
-
0000783736
-
Motion analysis for image enhancement: Resolution, occulusion and transparency
-
M. Irani and S. Peleg. Motion analysis for image enhancement: resolution, occulusion and transparency. JVCI, 1993.
-
(1993)
JVCI
-
-
Irani, M.1
Peleg, S.2
-
12
-
-
34547195896
-
Face hallucination: Theory and practice
-
October
-
C. Liu, H. Y. Shum, and W. T. Freeman. Face hallucination: theory and practice. IJCV, Vol. 75, No. 1, pp. 115-134, October, 2007.
-
(2007)
IJCV
, vol.75
, Issue.1
, pp. 115-134
-
-
Liu, C.1
Shum, H.Y.2
Freeman, W.T.3
-
14
-
-
0001287271
-
Regression shrinkge and selection via the Lasso
-
R. Tibshirani. Regression shrinkge and selection via the Lasso. J. Royal Statist. Soc B., Vol. 58, No. 1, pages 267-288, 1996.
-
(1996)
J. Royal Statist. Soc B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
15
-
-
33745164328
-
Overview of Face Recognition Grand Challenge
-
P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min and W. Worek. Overview of Face Recognition Grand Challenge. Proc. CVPR, 2005.
-
(2005)
Proc. CVPR
-
-
Phillips, P.1
Flynn, P.2
Scruggs, T.3
Bowyer, K.4
Chang, J.5
Hoffman, K.6
Marques, J.7
Min, J.8
Worek, W.9
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