-
1
-
-
36549007486
-
Computed tomography - an increasing source of radiation exposure
-
[1] Brenner, D.J., Hall, E.J., Computed tomography - an increasing source of radiation exposure. N. Engl. J. Med. 357 (2007), 2277–2284.
-
(2007)
N. Engl. J. Med.
, vol.357
, pp. 2277-2284
-
-
Brenner, D.J.1
Hall, E.J.2
-
2
-
-
84998971399
-
-
On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition, Doklady Akademii Nauk SSSR, 144, 1994, pp. 679–681; American Mathematical Society Translation, 28, 1963, pp. 55–59
-
[2] A. N. Kolmogorov, On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition, Doklady Akademii Nauk SSSR, 144, 1994, pp. 679–681; American Mathematical Society Translation, 28, 1963, pp. 55–59.
-
-
-
Kolmogorov, A.N.1
-
3
-
-
0026627415
-
Kolmogorov's theorem and multilayer neural networks
-
[3] Kukrova, V., Kolmogorov's theorem and multilayer neural networks. Neural Netw. 5:3 (1992), 501–506.
-
(1992)
Neural Netw.
, vol.5
, Issue.3
, pp. 501-506
-
-
Kukrova, V.1
-
4
-
-
0025751820
-
Approximation capabilities of multilayer feedforward networks
-
[4] Hornik, K., Approximation capabilities of multilayer feedforward networks. Neural Netw. 4:2 (1991), 251–257.
-
(1991)
Neural Netw.
, vol.4
, Issue.2
, pp. 251-257
-
-
Hornik, K.1
-
5
-
-
0024861871
-
Approximations by superpositions of sigmoidal functions
-
[5] Cybenko, G., Approximations by superpositions of sigmoidal functions. Math. Control Signals Syst. 2:4 (1989), 303–314.
-
(1989)
Math. Control Signals Syst.
, vol.2
, Issue.4
, pp. 303-314
-
-
Cybenko, G.1
-
6
-
-
0029291966
-
Sparse approximate solutions to linear systems
-
[6] Natarajan, B.K., Sparse approximate solutions to linear systems. SIAM J. Comput. 24 (1995), 227–234.
-
(1995)
SIAM J. Comput.
, vol.24
, pp. 227-234
-
-
Natarajan, B.K.1
-
7
-
-
31744440684
-
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
-
[7] Candes, E., Romberg, J., Tao, T., Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52:2 (2006), 489–509.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.2
, pp. 489-509
-
-
Candes, E.1
Romberg, J.2
Tao, T.3
-
8
-
-
33645712892
-
Compressed sensing
-
[8] Donoho, D., Compressed sensing. IEEE Trans. Inf. Theory 52:4 (2006), 1289–1306.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.1
-
9
-
-
36849088522
-
Sparse MRI: the application of compressed sensing for rapid MR imaging
-
[9] Lustig, M., Donoho, D., Pauly, J.M., Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 58:6 (2007), 1182–1195.
-
(2007)
Magn. Reson. Med.
, vol.58
, Issue.6
, pp. 1182-1195
-
-
Lustig, M.1
Donoho, D.2
Pauly, J.M.3
-
10
-
-
58049195322
-
Highly undersampled magnetic resonance image reconstruction via homotopic l0-minimization
-
[10] Trzasko, J., Manduca, A., Highly undersampled magnetic resonance image reconstruction via homotopic l0-minimization. IEEE Trans. Med. Imaging 28:1 (2009), 106–121.
-
(2009)
IEEE Trans. Med. Imaging
, vol.28
, Issue.1
, pp. 106-121
-
-
Trzasko, J.1
Manduca, A.2
-
11
-
-
84867041590
-
On the choice of compressed sensing priors: an experimental study
-
[11] Majumdar, A., Ward, R.K., On the choice of compressed sensing priors: an experimental study. Signal Process.: Image Commun. 27:9 (2012), 1035–1048.
-
(2012)
Signal Process.: Image Commun.
, vol.27
, Issue.9
, pp. 1035-1048
-
-
Majumdar, A.1
Ward, R.K.2
-
12
-
-
38949134498
-
Compressed sensing in dynamic MRI
-
[12] Gamper, U., Boesiger, P., Kozerke, S., Compressed sensing in dynamic MRI. Magn. Reson. Med. 59:2 (2008), 365–373.
-
(2008)
Magn. Reson. Med.
, vol.59
, Issue.2
, pp. 365-373
-
-
Gamper, U.1
Boesiger, P.2
Kozerke, S.3
-
13
-
-
84998552519
-
-
M.LustigJ.M.SantosD.L.Donoho, J.M Pauly, k-t SPARSE: High Frame Rate Dynamic MRI Exploiting Spatio-Temporal Sparsity, ISMRM '06.
-
[13] M.LustigJ.M.SantosD.L.Donoho, J.M Pauly, k-t SPARSE: High Frame Rate Dynamic MRI Exploiting Spatio-Temporal Sparsity, ISMRM '06.
-
-
-
-
14
-
-
34248999153
-
Improved k-t BLAST and k-t SENSE using FOCUSS
-
[14] Jung, H., Ye, J.C., Kim, E.Y., Improved k-t BLAST and k-t SENSE using FOCUSS. Phys. Med. Biol. 52 (2007), 3201–3226.
-
(2007)
Phys. Med. Biol.
, vol.52
, pp. 3201-3226
-
-
Jung, H.1
Ye, J.C.2
Kim, E.Y.3
-
15
-
-
73349136555
-
Radial k-t FOCUSS for high-resolution Cardiac Cine MRI
-
[15] Jung, H., Park, J., Yoo, J., Ye, J.C., Radial k-t FOCUSS for high-resolution Cardiac Cine MRI. Magn. Reson. Med. 63 (2010), 68–78.
-
(2010)
Magn. Reson. Med.
, vol.63
, pp. 68-78
-
-
Jung, H.1
Park, J.2
Yoo, J.3
Ye, J.C.4
-
16
-
-
60349105482
-
k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI
-
[16] Jung, H., Park, J., Yoo, J., Ye, J.C., k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI. Magn. Reson. Med. 61 (2009), 103–116.
-
(2009)
Magn. Reson. Med.
, vol.61
, pp. 103-116
-
-
Jung, H.1
Park, J.2
Yoo, J.3
Ye, J.C.4
-
17
-
-
77952953775
-
Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints
-
[17] Chen, L., Schabel, M.C., DiBella, E.V.R., Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints. Magn. Reson. Imaging 28:5 (2010), 637–645.
-
(2010)
Magn. Reson. Imaging
, vol.28
, Issue.5
, pp. 637-645
-
-
Chen, L.1
Schabel, M.C.2
DiBella, E.V.R.3
-
18
-
-
60549090085
-
Acquisition and reconstruction of undersampled radial data for myocardial perfusion magnetic resonance imaging
-
[18] Adluru, G., McGann, C., Speier, P., Kholmovski, E.G., Shaaban, A., DiBella, E.V.R., Acquisition and reconstruction of undersampled radial data for myocardial perfusion magnetic resonance imaging. J. Magn. Reson. Imaging 29 (2009), 466–473.
-
(2009)
J. Magn. Reson. Imaging
, vol.29
, pp. 466-473
-
-
Adluru, G.1
McGann, C.2
Speier, P.3
Kholmovski, E.G.4
Shaaban, A.5
DiBella, E.V.R.6
-
21
-
-
79955624809
-
Accelerated dynamic MRI exploiting sparsity and low-rank structure
-
[21] Goud, S., Hu, Y., DiBella, E., Jacob, M., Accelerated dynamic MRI exploiting sparsity and low-rank structure. IEEE Trans. Med. Imaging 30 (2011), 1042–1054.
-
(2011)
IEEE Trans. Med. Imaging
, vol.30
, pp. 1042-1054
-
-
Goud, S.1
Hu, Y.2
DiBella, E.3
Jacob, M.4
-
22
-
-
84867496074
-
Image reconstruction from highly undersampled (k,t)-Space data with joint partial separability and sparsity constraints
-
[22] Zhao, B., Haldar, J.P., Christodoulou, A.G., Liang, Z.-P., Image reconstruction from highly undersampled (k,t)-Space data with joint partial separability and sparsity constraints. IEEE Trans. Med. Imaging 31 (2012), 1809–1820.
-
(2012)
IEEE Trans. Med. Imaging
, vol.31
, pp. 1809-1820
-
-
Zhao, B.1
Haldar, J.P.2
Christodoulou, A.G.3
Liang, Z.-P.4
-
23
-
-
84877116426
-
Improved dynamic MRI reconstruction by exploiting sparsity and rank-deficiency
-
[23] Majumdar, A., Improved dynamic MRI reconstruction by exploiting sparsity and rank-deficiency. Magn. Reson. Imaging 31 (2013), 789–795.
-
(2013)
Magn. Reson. Imaging
, vol.31
, pp. 789-795
-
-
Majumdar, A.1
-
24
-
-
84875244062
-
Non-Convex Algorithm for sparse and low-rank recovery: application to dynamic MRI reconstruction
-
[24] Majumdar, A., Ward, R.K., Aboulnasr, T., Non-Convex Algorithm for sparse and low-rank recovery: application to dynamic MRI reconstruction. Magn. Reson. Imaging 31:3 (2012), 448–455.
-
(2012)
Magn. Reson. Imaging
, vol.31
, Issue.3
, pp. 448-455
-
-
Majumdar, A.1
Ward, R.K.2
Aboulnasr, T.3
-
26
-
-
84878571362
-
Blind compressed sensing dynamic MRI
-
[26] Lingala, S.G., Jacob, M., Blind compressed sensing dynamic MRI. IEEE Trans. Med. Imaging 32 (2013), 1132–1145.
-
(2013)
IEEE Trans. Med. Imaging
, vol.32
, pp. 1132-1145
-
-
Lingala, S.G.1
Jacob, M.2
-
27
-
-
84926371251
-
Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction
-
[27] Majumdar, A., Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction. Magn. Reson. Imaging 33:1 (2015), 174–179.
-
(2015)
Magn. Reson. Imaging
, vol.33
, Issue.1
, pp. 174-179
-
-
Majumdar, A.1
-
28
-
-
72249113155
-
A practical acceleration algorithm for real-time imaging
-
[28] Sümbül, U., Santos, J.M., Pauly, J.M., A practical acceleration algorithm for real-time imaging. IEEE Trans. Med. Imaging, 28(12), 2009.
-
(2009)
IEEE Trans. Med. Imaging
, vol.28
, Issue.12
-
-
Sümbül, U.1
Santos, J.M.2
Pauly, J.M.3
-
29
-
-
67649546988
-
Improved time series reconstruction for dynamic magnetic resonance imaging
-
[29] Sümbül, U., Santos, J.M., Pauly, J.M., Improved time series reconstruction for dynamic magnetic resonance imaging. IEEE Trans. Med. Imaging, 28(7), 2009.
-
(2009)
IEEE Trans. Med. Imaging
, vol.28
, Issue.7
-
-
Sümbül, U.1
Santos, J.M.2
Pauly, J.M.3
-
30
-
-
77954588549
-
Modified-CS: modifying compressive sensing for problems with partially known support
-
[30] Vaswani, N., Lu, W., Modified-CS: modifying compressive sensing for problems with partially known support. IEEE Trans. Signal Process., 58(9), 2010.
-
(2010)
IEEE Trans. Signal Process.
, vol.58
, Issue.9
-
-
Vaswani, N.1
Lu, W.2
-
31
-
-
84870508185
-
Compressed sensing based near real-time online dynamic MRI reconstruction
-
[31] Majumdar, A., Ward, R.K., Aboulnasr, T., Compressed sensing based near real-time online dynamic MRI reconstruction. IEEE Trans. Med. Imaging 31:2 (2012), 2253–2266.
-
(2012)
IEEE Trans. Med. Imaging
, vol.31
, Issue.2
, pp. 2253-2266
-
-
Majumdar, A.1
Ward, R.K.2
Aboulnasr, T.3
-
32
-
-
84885038632
-
Motion predicted online dynamic MRI reconstruction from partially sampled K-Space data
-
[32] Majumdar, A., Motion predicted online dynamic MRI reconstruction from partially sampled K-Space data. Magn. Reson. Imaging 31:9 (2013), 1578–1586.
-
(2013)
Magn. Reson. Imaging
, vol.31
, Issue.9
, pp. 1578-1586
-
-
Majumdar, A.1
-
34
-
-
84999045997
-
MRI: Physics, Reconstruction and Analysis
-
CRC Press New Delhi
-
[34] Majumdar, A., Ward, R.K., MRI: Physics, Reconstruction and Analysis. 2015, CRC Press, New Delhi.
-
(2015)
-
-
Majumdar, A.1
Ward, R.K.2
-
35
-
-
35648981849
-
Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-ct
-
[35] Song, J., Liu, Q.H., Johnson, G.A., Badea, C.T., Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-ct. Med. Phys. 34 (2007), 4476–4482.
-
(2007)
Med. Phys.
, vol.34
, pp. 4476-4482
-
-
Song, J.1
Liu, Q.H.2
Johnson, G.A.3
Badea, C.T.4
-
36
-
-
67649892573
-
Compressed sensing based interior tomography
-
[36] Yu, H., Wang, G., Compressed sensing based interior tomography. Phys. Med. Biol. 54 (2009), 2791–2805.
-
(2009)
Phys. Med. Biol.
, vol.54
, pp. 2791-2805
-
-
Yu, H.1
Wang, G.2
-
37
-
-
84859345613
-
Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints
-
(2287-)
-
[37] Lee, H., Xing, L., Davidi, R., Li, R., Qian, J., Lee, R., Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints”. Phys. Med. Biol., 57, 2012 (2287-).
-
(2012)
Phys. Med. Biol.
, vol.57
-
-
Lee, H.1
Xing, L.2
Davidi, R.3
Li, R.4
Qian, J.5
Lee, R.6
-
38
-
-
38849164794
-
Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets
-
[38] Chen, G.H., Tang, J., Leng, S., Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. Med. Phys. 35:2 (2008), 660–663.
-
(2008)
Med. Phys.
, vol.35
, Issue.2
, pp. 660-663
-
-
Chen, G.H.1
Tang, J.2
Leng, S.3
-
39
-
-
78149484685
-
Temporal resolution improvement in cardiac CT using PICCS (TRI-PICCS): performance studies
-
[39] Tang, J., Hsieh, J., Chen, G.H., Temporal resolution improvement in cardiac CT using PICCS (TRI-PICCS): performance studies. Med. Phys. 37:8 (2010), 4377–4388.
-
(2010)
Med. Phys.
, vol.37
, Issue.8
, pp. 4377-4388
-
-
Tang, J.1
Hsieh, J.2
Chen, G.H.3
-
40
-
-
79953654020
-
Nonconvex prior image constrained compressed sensing (NCPICCS): theory and simulations on perfusion CT
-
[40] Ramirez-Giraldo, J.C., Trzasko, J., Leng, S., Yu, L., Manduca, A., McCollough, C.H., Nonconvex prior image constrained compressed sensing (NCPICCS): theory and simulations on perfusion CT. Med. Phys. 38:4 (2011), 2157–2167.
-
(2011)
Med. Phys.
, vol.38
, Issue.4
, pp. 2157-2167
-
-
Ramirez-Giraldo, J.C.1
Trzasko, J.2
Leng, S.3
Yu, L.4
Manduca, A.5
McCollough, C.H.6
-
41
-
-
69349090197
-
Learning deep architectures for AI
-
[41] Bengio, Y., Learning deep architectures for AI. Found. Trends Mach. Learn. 2:1 (2009), 1–127.
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
42
-
-
84998814718
-
-
Greedy layer-wise training of deep networks, NIPS, 2006
-
[42] Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, Greedy layer-wise training of deep networks, NIPS, 2006.
-
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
43
-
-
79551480483
-
Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
-
[43] Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.-A., Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11 (2010), 3371–3408.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
44
-
-
84897512451
-
-
Simple sparsification improves sparse denoising autoencoders in denoising highly noisy images, ICML, 2013
-
[44] K.H. Cho, Simple sparsification improves sparse denoising autoencoders in denoising highly noisy images, ICML, 2013.
-
-
-
Cho, K.H.1
-
45
-
-
80053460450
-
-
Contractive autoencoders: explicit invariance during feature extraction, ICML, 2011
-
[45] S. Rifai, P. Vincent, X. Muller, X. Glorot, Y. Bengio, Contractive autoencoders: explicit invariance during feature extraction, ICML, 2011.
-
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
46
-
-
64649083745
-
Signal recovery from random measurements via Orthogonal Matching Pursuit
-
[46] Tropp, J.A., Gilbert, A.C., Signal recovery from random measurements via Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory 53:12 (2007), 4655–4666.
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.A.1
Gilbert, A.C.2
-
47
-
-
84856938223
-
Sparse solution of underdetermined systems of linear equations by Stagewise Orthogonal Matching Pursuit
-
[47] Donoho, D., Tsaig, Y., Drori, I., Starck, J.-L., Sparse solution of underdetermined systems of linear equations by Stagewise Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory 58:2 (2012), 1094–1121.
-
(2012)
IEEE Trans. Inf. Theory
, vol.58
, Issue.2
, pp. 1094-1121
-
-
Donoho, D.1
Tsaig, Y.2
Drori, I.3
Starck, J.-L.4
-
48
-
-
62749175137
-
CoSaMP: iterative signal recovery from incomplete and inaccurate samples
-
[48] Needell, D., Tropp, J.A., CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Appl. Comput. Harmon. Anal. 26:3 (2009), 301–321.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.26
, Issue.3
, pp. 301-321
-
-
Needell, D.1
Tropp, J.A.2
-
49
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
[49] Daubechies, I., Defrise, M., Mol, C. De, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun. Pure Appl. Math. 4:57 (2004), 1413–1457.
-
(2004)
Commun. Pure Appl. Math.
, vol.4
, Issue.57
, pp. 1413-1457
-
-
Daubechies, I.1
Defrise, M.2
Mol, C.D.3
-
50
-
-
0029307534
-
De-noising by soft-thresholding
-
[50] Donoho, D., De-noising by soft-thresholding. IEEE Trans. Inf. Theory 41:3 (1995), 613–627.
-
(1995)
IEEE Trans. Inf. Theory
, vol.41
, Issue.3
, pp. 613-627
-
-
Donoho, D.1
-
51
-
-
0003157339
-
Robust estimation of a location parameter
-
[51] Huber, P.J., Robust estimation of a location parameter. Ann. Math. Stat. 35:1 (1964), 73–101.
-
(1964)
Ann. Math. Stat.
, vol.35
, Issue.1
, pp. 73-101
-
-
Huber, P.J.1
-
52
-
-
80052706579
-
Alternatives to least squares
-
[52] Branham, R.L. Jr., Alternatives to least squares. Astron. J. 87 (1982), 928–937.
-
(1982)
Astron. J.
, vol.87
, pp. 928-937
-
-
Branham, R.L.1
-
53
-
-
0037187864
-
An L1 estimation algorithm with degeneracy and linear constraints
-
[53] Shi, M., Lukas, M.A., An L1 estimation algorithm with degeneracy and linear constraints. Comput. Stat. Data Anal. 39:1 (2002), 35–55.
-
(2002)
Comput. Stat. Data Anal.
, vol.39
, Issue.1
, pp. 35-55
-
-
Shi, M.1
Lukas, M.A.2
-
54
-
-
84878078972
-
-
Regularized least absolute deviations regression and an efficient algorithm for parameter tuning, IEEE ICDM, 2006
-
[54] L. Wang, M.D. Gordon, J. Zhu, Regularized least absolute deviations regression and an efficient algorithm for parameter tuning, IEEE ICDM, 2006.
-
-
-
Wang, L.1
Gordon, M.D.2
Zhu, J.3
-
55
-
-
0000369555
-
An improved algorithm for discrete L1 linear approximation
-
[55] Barrodale, I., Roberts, F.D.K., An improved algorithm for discrete L1 linear approximation. SIAM J. Numer. Anal. 10:5 (1973), 839–848.
-
(1973)
SIAM J. Numer. Anal.
, vol.10
, Issue.5
, pp. 839-848
-
-
Barrodale, I.1
Roberts, F.D.K.2
-
56
-
-
84891815019
-
An iterative technique for absolute deviations curve fitting
-
[56] Schlossmacher, E.J., An iterative technique for absolute deviations curve fitting. J. Am. Stat. Assoc. 68:344 (1973), 857–859.
-
(1973)
J. Am. Stat. Assoc.
, vol.68
, Issue.344
, pp. 857-859
-
-
Schlossmacher, E.J.1
-
57
-
-
0344238146
-
A new descent algorithm for the least absolute value regression problem
-
[57] Wesolowsky, G.O., A new descent algorithm for the least absolute value regression problem. Commun. Stat. – Simul. Comput. Vol. B10:5 (1981), 479–491.
-
(1981)
Commun. Stat. – Simul. Comput.
, vol.B10
, Issue.5
, pp. 479-491
-
-
Wesolowsky, G.O.1
-
58
-
-
10444290684
-
A maximum likelihood approach to least absolute deviation regression
-
[58] Li, Y., Arce, G.R., A maximum likelihood approach to least absolute deviation regression. EURASIP J. Appl. Signal Process. 12 (2004), 1762–1769.
-
(2004)
EURASIP J. Appl. Signal Process.
, vol.12
, pp. 1762-1769
-
-
Li, Y.1
Arce, G.R.2
-
59
-
-
79953042112
-
-
[59] Xiao, Y., Zeng, T., Yu, J., Ng, M.K., Pattern Recognit. 44:8 (2011), 1708–1720.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.8
, pp. 1708-1720
-
-
Xiao, Y.1
Zeng, T.2
Yu, J.3
Ng, M.K.4
-
60
-
-
84941424128
-
Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise
-
[60] Luo, L., Yang, J., Qian, J., Tai, Y., Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise. Pattern Recognit. 48:12 (2015), 3811–3824.
-
(2015)
Pattern Recognit.
, vol.48
, Issue.12
, pp. 3811-3824
-
-
Luo, L.1
Yang, J.2
Qian, J.3
Tai, Y.4
-
61
-
-
84998584720
-
-
H.AgarwalA.Majumdar, Generalized synthesis and analysis prior algorithms with application to impulse denoising, ICVGIP, 2014.
-
[61] H.AgarwalA.Majumdar, Generalized synthesis and analysis prior algorithms with application to impulse denoising, ICVGIP, 2014.
-
-
-
-
62
-
-
84998807459
-
-
arXiv:1503.06383
-
[62] arXiv:1503.06383.
-
-
-
-
63
-
-
84998595471
-
-
〈 〉
-
[63] 〈http://home.engineering.iastate.edu/~chenlu/csresidual.htm〉.
-
-
-
-
64
-
-
84998959421
-
-
〈 〉
-
[64] 〈http://www.sci.utah.edu/bisti.html〉.
-
-
-
-
65
-
-
84998959429
-
-
〈〉
-
[65] 〈 http://www.phon.ox.ac.uk/jcoleman/Dynamic_MRI.html〉.
-
-
-
-
66
-
-
0041663513
-
Removing the blocking artifacts of block-based DCT compressed images
-
[66] Luo, Ying, Ward, R.K., Removing the blocking artifacts of block-based DCT compressed images. IEEE Trans. Image Process. 12:7 (2003), 838–842.
-
(2003)
IEEE Trans. Image Process.
, vol.12
, Issue.7
, pp. 838-842
-
-
Luo, Y.1
Ward, R.K.2
-
67
-
-
84998650489
-
-
〈〉
-
[67] 〈 http://nw360.blogspot.in/2007/01/matlab-code-for-luo-and-wards-algorithm.html〉.
-
-
-
-
68
-
-
70449715224
-
Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments
-
[68] Dai, X.B., Shu, H.Z., Luo, L.M., Han, G.N., Coatrieux, J.L., Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments. Pattern Recognit. 43:3 (2010), 1152–1164.
-
(2010)
Pattern Recognit.
, vol.43
, Issue.3
, pp. 1152-1164
-
-
Dai, X.B.1
Shu, H.Z.2
Luo, L.M.3
Han, G.N.4
Coatrieux, J.L.5
-
69
-
-
0035501729
-
The image moment method for the limited range CT image reconstruction and pattern recognition
-
[69] Wang, T.J., Sze, T.W., The image moment method for the limited range CT image reconstruction and pattern recognition. Pattern Recognit. 34:11 (2001), 2145–2154.
-
(2001)
Pattern Recognit.
, vol.34
, Issue.11
, pp. 2145-2154
-
-
Wang, T.J.1
Sze, T.W.2
-
70
-
-
84998882496
-
-
〈〉
-
[70] 〈 http://isbweb.org/data/vsj〉.
-
-
-
-
71
-
-
84998807068
-
-
〈〉
-
[71] 〈 https://www.math.ucdavis.edu/~mpf/spgl1/〉.
-
-
-
-
72
-
-
1942436689
-
Image quality assessment: from error visibility to structural similarity
-
[72] Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P., Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13:4 (2004), 600–612.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.4
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.C.2
Sheikh, H.R.3
Simoncelli, E.P.4
|