-
1
-
-
0034244751
-
Normalized cuts and image segmentation
-
Aug.
-
J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
3
-
-
84864322831
-
Improving clustering by learning a bi-stochastic data similarity matrix
-
F. Wang, P. Li, A. C. König, and M. Wan, "Improving clustering by learning a bi-stochastic data similarity matrix," Knowl. Inf. Syst., vol. 32, no. 2, pp. 351-382, 2012.
-
(2012)
Knowl. Inf. Syst.
, vol.32
, Issue.2
, pp. 351-382
-
-
Wang, F.1
Li, P.2
König, A.C.3
Wan, M.4
-
4
-
-
84896060960
-
Large-scale spectral clustering on graphs
-
J. Liu, C. Wang, M. Danilevsky, and J. Han, "Large-scale spectral clustering on graphs," in Proc. Int. Joint Conf. Artif. Intell., 2013, pp. 1486-1492.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1486-1492
-
-
Liu, J.1
Wang, C.2
Danilevsky, M.3
Han, J.4
-
5
-
-
84874010317
-
Semi-supervised learning
-
C. Sammut and G. I. Webb (Eds.), Springer
-
X. Zhu, "Semi-supervised learning," Encyclopedia of Machine Learning, C. Sammut and G. I. Webb (Eds.), Springer, pp. 892-897, 2010.
-
(2010)
Encyclopedia of Machine Learning
, pp. 892-897
-
-
Zhu, X.1
-
6
-
-
36448931986
-
Graph-based semisupervised learning
-
Jan.
-
M. Culp and G. Michailidis, "Graph-based semisupervised learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 1, pp. 174-179, Jan. 2008.
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.30
, Issue.1
, pp. 174-179
-
-
Culp, M.1
Michailidis, G.2
-
7
-
-
33749252873
-
-
Cambridge, MA, USA: MIT Press
-
O. Chapelle, B. Schlkopf, and A. Zien, Semi-Supervised Learning, Cambridge, MA, USA: MIT Press, 2006.
-
(2006)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schlkopf, B.2
Zien, A.3
-
8
-
-
84862292264
-
Semi-supervised learning with max-margin graph cuts
-
B. Kveton, M. Valko, A. Rahimi, and L. Huang, "Semi-supervised learning with max-margin graph cuts," J. Mach. Learn. Res. - Proc. Track, vol. 9, pp. 421-428, 2010.
-
(2010)
J. Mach. Learn. Res. - Proc. Track
, vol.9
, pp. 421-428
-
-
Kveton, B.1
Valko, M.2
Rahimi, A.3
Huang, L.4
-
9
-
-
84865425579
-
Robust and scalable graphbased semisupervised learning
-
Sep.
-
W. Liu, J. Wang, and S.-F. Chang, "Robust and scalable graphbased semisupervised learning," Proc. IEEE, vol. 100, no. 9, pp. 2624-2638, Sep. 2012.
-
(2012)
Proc. IEEE
, vol.100
, Issue.9
, pp. 2624-2638
-
-
Liu, W.1
Wang, J.2
Chang, S.-F.3
-
10
-
-
70449565471
-
Some new directions in graph-based semi-supervised learning
-
X. Zhu, A. B. Goldberg, and T. Khot, "Some new directions in graph-based semi-supervised learning," in Proc. IEEE Int. Conf. Multimedia Expo., 2009, pp. 1504-1507.
-
(2009)
Proc. IEEE Int. Conf. Multimedia Expo.
, pp. 1504-1507
-
-
Zhu, X.1
Goldberg, A.B.2
Khot, T.3
-
12
-
-
84893777179
-
Sparse semisupervised learning on low-rank kernel
-
K. Zhang, Q. Wang, L. Lan, Y. Sun, and I. Marsic, "Sparse semisupervised learning on low-rank kernel," Neurocomputing, vol. 129, pp. 265-272, 2014.
-
(2014)
Neurocomputing
, vol.129
, pp. 265-272
-
-
Zhang, K.1
Wang, Q.2
Lan, L.3
Sun, Y.4
Marsic, I.5
-
13
-
-
1942484430
-
Semi-supervised learning using gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. D. Lafferty, "Semi-supervised learning using gaussian fields and harmonic functions," in Proc. Int. Conf. Mach. Learn., 2003, pp. 912-919.
-
(2003)
Proc. Int. Conf. Mach. Learn.
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.D.3
-
14
-
-
22944492898
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Proc. Adv. Neural Inf. Process. Syst., 2003, pp. 321-328.
-
(2003)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
15
-
-
36648998944
-
Label propagation through linear neighborhoods
-
Jan.
-
F. Wang and C. Zhang, "Label propagation through linear neighborhoods," IEEE Trans. Knowl. Data Eng., vol. 20, no. 1, pp. 55-67, Jan. 2008.
-
(2008)
IEEE Trans. Knowl. Data Eng.
, vol.20
, Issue.1
, pp. 55-67
-
-
Wang, F.1
Zhang, C.2
-
16
-
-
84880903985
-
Graph-based semi-supervised learning as a generative model
-
J. He, J. G. Carbonell, and Y. Liu, "Graph-based semi-supervised learning as a generative model," in Proc. Int. Joint Conf. Artif. Intell., 2007, pp. 2492-2497.
-
(2007)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 2492-2497
-
-
He, J.1
Carbonell, J.G.2
Liu, Y.3
-
17
-
-
79951767220
-
Dissimilarity in graphbased semi-supervised classification
-
A. B. Goldberg, X. Zhu, and S. J. Wright, "Dissimilarity in graphbased semi-supervised classification," J. Mach. Learn. Res. - Proc. Track, vol. 2, pp. 155-162, 2007.
-
(2007)
J. Mach. Learn. Res. - Proc. Track
, vol.2
, pp. 155-162
-
-
Goldberg, A.B.1
Zhu, X.2
Wright, S.J.3
-
18
-
-
49049111209
-
Semi-supervised discriminant analysis
-
D. Cai, X. He, and J. Han, "Semi-supervised discriminant analysis," in Proc. Int. Conf. Comput. Vis., 2007, pp. 1-7.
-
(2007)
Proc. Int. Conf. Comput. Vis.
, pp. 1-7
-
-
Cai, D.1
He, X.2
Han, J.3
-
19
-
-
0031185845
-
Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
-
Jul.
-
P. N. Bellhumeur, J. P. Hespanha, and D. J. Kriegeman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
-
(1997)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.19
, Issue.7
, pp. 711-720
-
-
Bellhumeur, P.N.1
Hespanha, J.P.2
Kriegeman, D.J.3
-
20
-
-
82155163866
-
Learning a propagable graph for semisupervised learning: Classification and regression
-
Jan.
-
B. Ni, S. Yan, and A. A. Kassim, "Learning a propagable graph for semisupervised learning: Classification and regression," IEEE Trans. Knowl. Data Eng., vol. 24, no. 1, pp. 114-126, Jan. 2012.
-
(2012)
IEEE Trans. Knowl. Data Eng.
, vol.24
, Issue.1
, pp. 114-126
-
-
Ni, B.1
Yan, S.2
Kassim, A.A.3
-
21
-
-
84880220875
-
Generalized optimization framework for graph-based semisupervised learning
-
M. Sokol, K. Avrachenkov, P. Gonçalves, and A. Mishenin, "Generalized optimization framework for graph-based semisupervised learning," in Proc. SIAM Int. Conf. Data Mining, 2012, pp. 966-974.
-
(2012)
Proc. SIAM Int. Conf. Data Mining
, pp. 966-974
-
-
Sokol, M.1
Avrachenkov, K.2
Gonçalves, P.3
Mishenin, A.4
-
23
-
-
84886483781
-
Influence of graph construction on semi-supervised learning
-
C. A. R. de Sousa, S. O. Rezende, and G. E. A. P. A. Batista, "Influence of graph construction on semi-supervised learning," in Proc. Eur. Conf. Mach. Learn. Principles Practices Knowl. Discovery Databases, 2013, pp. 160-175.
-
(2013)
Proc. Eur. Conf. Mach. Learn. Principles Practices Knowl. Discovery Databases
, pp. 160-175
-
-
De Sousa, C.A.R.1
Rezende, S.O.2
Batista, G.E.A.P.A.3
-
24
-
-
71149102018
-
Graph construction and b-matching for semi-supervised learning
-
T. Jebara, J. Wang, and S.-F. Chang, "Graph construction and b-matching for semi-supervised learning," in Proc. Int. Conf. Mach. Learn., 2009, pp. 441-448.
-
(2009)
Proc. Int. Conf. Mach. Learn.
, pp. 441-448
-
-
Jebara, T.1
Wang, J.2
Chang, S.-F.3
-
26
-
-
84875702078
-
Trace ratio optimization-based semi-supervised nonlinear dimensionality reduction for marginal manifold visualization
-
May
-
Z. Zhang, T. W. S. Chow, and M.-B. Zhao, "Trace ratio optimization-based semi-supervised nonlinear dimensionality reduction for marginal manifold visualization," IEEE Trans. Knowl. Data Eng., vol. 25, no. 5, pp. 1148-1161, May 2013.
-
(2013)
IEEE Trans. Knowl. Data Eng.
, vol.25
, Issue.5
, pp. 1148-1161
-
-
Zhang, Z.1
Chow, T.W.S.2
Zhao, M.-B.3
-
27
-
-
77956529193
-
Robust subspace segmentation by lowrank representation
-
G. Liu, Z. Lin, and Y. Yu, "Robust subspace segmentation by lowrank representation," in Proc. Int. Conf. Mach. Learn., 2010, pp. 663-670.
-
(2010)
Proc. Int. Conf. Mach. Learn.
, pp. 663-670
-
-
Liu, G.1
Lin, Z.2
Yu, Y.3
-
28
-
-
84870197517
-
Robust recovery of subspace structures by low-rank representation
-
Jan.
-
G. Liu, Z. Lin, S. Yan, J. Sun, Y. Yu, 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
Yu, Y.5
Ma, Y.6
-
29
-
-
84896061548
-
Low-rank coding with b-matching constraint for semi-supervised classification
-
S. Li and Y. Fu, "Low-rank coding with b-matching constraint for semi-supervised classification," in Proc. Int. Joint Conf. Artif. Intell., 2013, pp. 1472-1478.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1472-1478
-
-
Li, S.1
Fu, Y.2
-
30
-
-
84900019331
-
A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction
-
M.-B. Zhao, Z. Zhang, T. W. S. Chow, and B. Li, "A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction," Neural Netw., vol. 55, pp. 83-97, 2014.
-
(2014)
Neural Netw.
, vol.55
, pp. 83-97
-
-
Zhao, M.-B.1
Zhang, Z.2
Chow, T.W.S.3
Li, B.4
-
31
-
-
77955690054
-
-
Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA, Tech. Rep. UILU-ENG-09-2215
-
Z. Lin, M. Chen, and Y. Ma, "The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrix," Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA, Tech. Rep. UILU-ENG-09-2215, 2009.
-
(2009)
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-rank Matrix
-
-
Lin, Z.1
Chen, M.2
Ma, Y.3
-
32
-
-
85162350693
-
Linearized alternating direction method with adaptive penalty for low-rank representation
-
Z. Lin, R. Liu, and Z. Su, "Linearized alternating direction method with adaptive penalty for low-rank representation," in Proc. Adv. Inf. Process. Syst., 2011, pp. 612-620.
-
(2011)
Proc. Adv. Inf. Process. Syst.
, pp. 612-620
-
-
Lin, Z.1
Liu, R.2
Su, Z.3
-
33
-
-
84896062135
-
Nonconvex relaxation approaches to robust matrix recovery
-
S. Wang, D. Liu, and Z. Zhang, "Nonconvex relaxation approaches to robust matrix recovery," in Proc. Int. Joint Conf. Artif. Intell., 2013, pp. 1764-1770.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1764-1770
-
-
Wang, S.1
Liu, D.2
Zhang, Z.3
-
34
-
-
84898779264
-
Distributed low-rank subspace segmentation
-
A. Talwalkar, L. W. Mackey, Y. Mu, S.-F. Chang, and M. I. Jordan, "Distributed low-rank subspace segmentation," in Proc. Int. Conf. Comput. Vis., 2013, pp. 3543-3550.
-
(2013)
Proc. Int. Conf. Comput. Vis.
, pp. 3543-3550
-
-
Talwalkar, A.1
MacKey, L.W.2
Mu, Y.3
Chang, S.-F.4
Jordan, M.I.5
-
35
-
-
72749110068
-
Semi-supervised learning by sparse representation
-
S. Yan and H. Wang, "Semi-supervised learning by sparse representation," in Proc. SIAM Int. Conf. Data Mining, 2009, pp. 792-801.
-
(2009)
Proc. SIAM Int. Conf. Data Mining
, pp. 792-801
-
-
Yan, S.1
Wang, H.2
-
36
-
-
84862278472
-
Fast b-matching via sufficient selection belief propagation
-
B. Huang and T. Jebara, "Fast b-matching via sufficient selection belief propagation," J. Mach. Learn. Res. - Proc. Track, vol. 15, pp. 361-369, 2011.
-
(2011)
J. Mach. Learn. Res. - Proc. Track
, vol.15
, pp. 361-369
-
-
Huang, B.1
Jebara, T.2
-
37
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb.
-
J. Wright, A. Y. 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.Y.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
38
-
-
80052892989
-
Nonnegative sparse coding for discriminative semi-supervised learning
-
R. He, W. Zheng, B. Hu, and X. Kong, "Nonnegative sparse coding for discriminative semi-supervised learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2011, pp. 2849-2856.
-
(2011)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 2849-2856
-
-
He, R.1
Zheng, W.2
Hu, B.3
Kong, X.4
-
39
-
-
84863061527
-
Unsupervised and semi-supervised learning via l1-norm graph
-
F. Nie, H. Wang, H. Huang, and C. H. Q. Ding, "Unsupervised and semi-supervised learning via l1-norm graph," in Proc. Int. Conf. Comput. Vis., 2011, pp. 2268-2273.
-
(2011)
Proc. Int. Conf. Comput. Vis.
, pp. 2268-2273
-
-
Nie, F.1
Wang, H.2
Huang, H.3
Ding, C.H.Q.4
-
40
-
-
84896062944
-
Semi-supervised learning with manifold fitted graphs
-
T. Zhang, R. Ji, W. Liu, D. Tao, and G. Hua, "Semi-supervised learning with manifold fitted graphs," in Proc. Int. Joint Conf. Artif. Intell., 2013, pp. 1896-1902.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1896-1902
-
-
Zhang, T.1
Ji, R.2
Liu, W.3
Tao, D.4
Hua, G.5
-
41
-
-
77953177416
-
Sparsity induced similarity measure for label propagation
-
H. Cheng, Z. Liu, and J. Yang, "Sparsity induced similarity measure for label propagation," in Proc. Int. Conf. Comput. Vis., 2009, pp. 317-324.
-
(2009)
Proc. Int. Conf. Comput. Vis.
, pp. 317-324
-
-
Cheng, H.1
Liu, Z.2
Yang, J.3
-
42
-
-
46249124832
-
Consistency of trace norm minimization
-
F. Bach, "Consistency of trace norm minimization," J. Mach. Learn. Res., vol. 9, pp. 1019-1048, 2008.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1019-1048
-
-
Bach, F.1
-
43
-
-
79960675858
-
Robust principal component analysis?
-
E. J. Candés, X. Li, Y. Ma, and J. Wright, "Robust principal component analysis?" J. ACM, vol. 58, no. 3, p. 11, 2011.
-
(2011)
J. ACM
, vol.58
, Issue.3
, pp. 11
-
-
Candés, E.J.1
Li, X.2
Ma, Y.3
Wright, J.4
-
44
-
-
84881505349
-
Discriminative dictionary learning with low-rank regularization for face recognition
-
L. Li, S. Li, and Y. Fu, "Discriminative dictionary learning with low-rank regularization for face recognition," in Proc. IEEE Int. Conf. Autom. Face Gesture Recognit., 2013, pp. 1-6.
-
(2013)
Proc. IEEE Int. Conf. Autom. Face Gesture Recognit.
, pp. 1-6
-
-
Li, L.1
Li, S.2
Fu, Y.3
-
45
-
-
84959930150
-
Robust subspace discovery through supervised low-rank constraints
-
S. Li and Y. Fu, "Robust subspace discovery through supervised low-rank constraints," in Proc. SIAM Int. Conf. Data Mining, 2014, pp. 163-171.
-
(2014)
Proc. SIAM Int. Conf. Data Mining
, pp. 163-171
-
-
Li, S.1
Fu, Y.2
-
46
-
-
84908486276
-
Locality linear fitting one-class SVM with low-rank constraints for outlier detection
-
S. Li, M. Shao, and Y. Fu, "Locality linear fitting one-class SVM with low-rank constraints for outlier detection," in Proc. Int. Joint Conf. Neural Netw., 2014, pp. 676-683.
-
(2014)
Proc. Int. Joint Conf. Neural Netw.
, pp. 676-683
-
-
Li, S.1
Shao, M.2
Fu, Y.3
-
47
-
-
84866660023
-
Nonnegative low rank and sparse graph for semi-supervised learning
-
L. Zhuang, H. Gao, Z. Lin, Y. Ma, X. Zhang, and N. Yu, "Nonnegative low rank and sparse graph for semi-supervised learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2012, pp. 2328-2335.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 2328-2335
-
-
Zhuang, L.1
Gao, H.2
Lin, Z.3
Ma, Y.4
Zhang, X.5
Yu, N.6
-
48
-
-
84866046924
-
Semi-supervised learning with mixed knowledge information
-
F. Shang, L. Jiao, and F. Wang, "Semi-supervised learning with mixed knowledge information," in Proc. ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2012, pp. 732-740.
-
(2012)
Proc. ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining
, pp. 732-740
-
-
Shang, F.1
Jiao, L.2
Wang, F.3
-
49
-
-
84871046427
-
Learning spectral embedding via iterative eigenvalue thresholding
-
F. Shang, L. Jiao, Y. Liu, and F. Wang, "Learning spectral embedding via iterative eigenvalue thresholding," in Proc. ACM Int. Conf. Inf. Knowl. Manage., 2012, pp. 1507-1511.
-
(2012)
Proc. ACM Int. Conf. Inf. Knowl. Manage.
, pp. 1507-1511
-
-
Shang, F.1
Jiao, L.2
Liu, Y.3
Wang, F.4
-
50
-
-
84875709468
-
Semi-supervised learning with nuclear norm regularization
-
F. Shang, L. Jiao, Y. Liu, and H. Tong, "Semi-supervised learning with nuclear norm regularization," Pattern Recognit., vol. 46, no. 8, pp. 2323-2336, 2013.
-
(2013)
Pattern Recognit.
, vol.46
, Issue.8
, pp. 2323-2336
-
-
Shang, F.1
Jiao, L.2
Liu, Y.3
Tong, H.4
-
51
-
-
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. 140, pp. 84-96, 2014.
-
(2014)
Neurocomputing
, vol.140
, pp. 84-96
-
-
Zhao, M.1
Jiao, L.2
Feng, J.3
Liu, T.4
-
52
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
Jun.
-
A. Georghiades, P. Belhumeur, and D. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 643-660, Jun. 2001.
-
(2001)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
53
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
Dec.
-
T. Sim, S. Baker, and M. Bsat, "The CMU pose, illumination, and expression database," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 12, pp. 1615-1618, Dec. 2003.
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.12
, pp. 1615-1618
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
54
-
-
0028734063
-
Parameterisation of a stochastic model for human face identification
-
F. Samaria and A. Harter, "Parameterisation of a stochastic model for human face identification," in Proc. 2nd IEEE Workshop Appl. Comput. Vis., 1994, pp. 138-142.
-
(1994)
Proc. 2nd IEEE Workshop Appl. Comput. Vis.
, pp. 138-142
-
-
Samaria, F.1
Harter, A.2
-
55
-
-
0028428774
-
A database for handwritten text recognition research
-
May
-
J. Hull, "A database for handwritten text recognition research," IEEE Trans. Pattern Anal. Mach. Intell., vol. 16, no. 5, pp. 550-554, May 1994.
-
(1994)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.16
, Issue.5
, pp. 550-554
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Hull, J.1
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