메뉴 건너뛰기




Volumn 30, Issue 7, 2011, Pages 1328-1340

Total variation regularization for fMRI-based prediction of behavior

Author keywords

Classification; functional magnetic resonance imaging (fMRI); regression; regularization; spatial structure; total variation (TV)

Indexed keywords

FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); REGRESSION; REGULARIZATION; SPATIAL STRUCTURE; TOTAL VARIATION;

EID: 79959811645     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2113378     Document Type: Article
Times cited : (120)

References (62)
  • 2
    • 0023034513 scopus 로고
    • Neuronal population coding on movement direction
    • A. Georgopoulos, A. Schwartz, and R. Kettner, "Neuronal population coding of movement direction," Science, vol. 233, no. 4771, pp. 1416-1419, 1986. (Pubitemid 17169374)
    • (1986) Science , vol.233 , Issue.4771 , pp. 1416-1419
    • Georgopoulos, A.P.1    Schwartz, A.B.2    Kettner, R.E.3
  • 3
    • 31944437943 scopus 로고    scopus 로고
    • A cortical region consisting entirely of face-selective cells
    • DOI 10.1126/science.1119983
    • D. Y. Tsao, W. A. Freiwald, R. B. H. Tootell, and M. S. Livingstone, "A cortical region consisting entirely of face-selective cells," Science, vol. 311, no. 5761, pp. 670-674, 2006. (Pubitemid 43191313)
    • (2006) Science , vol.311 , Issue.5761 , pp. 670-674
    • Tsao, D.Y.1    Freiwald, W.A.2    Tootell, R.B.H.3    Livingstone, M.S.4
  • 4
    • 1542316119 scopus 로고    scopus 로고
    • Functional imaging and neural information coding
    • DOI 10.1016/j.neuroimage.2003.10.043, PII S1053811903007134
    • A. Nevado, M. P. Young, and S. Panzeri, "Functional imaging and neural information coding," Neuro Image, vol. 21, no. 3, pp. 1083-1095, 2004. (Pubitemid 38314971)
    • (2004) NeuroImage , vol.21 , Issue.3 , pp. 1083-1095
    • Nevado, A.1    Young, M.P.2    Panzeri, S.3
  • 5
    • 0034329021 scopus 로고    scopus 로고
    • Information processing with pop- ulation codes
    • A. Pouget, T. Dyan, and R. Zemel, "Information processing with pop- ulation codes," Nature Rev. Neurosci., vol. 1, pp. 125-132, 2000.
    • (2000) Nature Rev. Neurosci. , vol.1 , pp. 125-132
    • Pouget, A.1    Dyan, T.2    Zemel, R.3
  • 7
    • 0034543309 scopus 로고    scopus 로고
    • Mental imagery of faces and places activates corresponding stimulus-specific brain regions
    • DOI 10.1162/08989290051137549
    • K. M. O'Craven and N. Kanwisher, "Mental imagery of faces and places activates corresponding stimulus-specific brain regions," J. Cogn. Neurosci., vol. 12, no. 6, pp. 1013-1023, 2000. (Pubitemid 32014496)
    • (2000) Journal of Cognitive Neuroscience , vol.12 , Issue.6 , pp. 1013-1023
    • O'Craven, K.M.1    Kanwisher, N.2
  • 8
    • 0142074702 scopus 로고    scopus 로고
    • Predicting performance from functional imaging data: Methods matter
    • DOI 10.1016/S1053-8119(03)00349-5
    • J. J. Sidtis, S. C. Strother, and D. A. Rottenberg, "Predicting perfor- mance from functional imaging data: Methods matter," Neuro Image, vol. 20, no. 2, pp. 615-24, 2003. (Pubitemid 37268092)
    • (2003) NeuroImage , vol.20 , Issue.2 , pp. 615-624
    • Sidtis, J.J.1    Strother, S.C.2    Rottenberg, D.A.3
  • 9
    • 0041737619 scopus 로고    scopus 로고
    • Functional magnetic resonance imaging (fMRI) "brain reading": Detecting and classifying distributed patterns of fMRI activity in human visual cortex
    • DOI 10.1016/S1053-8119(03)00049-1
    • D. D. Cox and R. L. Savoy, "Functional magnetic resonance imaging (fMRI) "brain reading:" Detecting and classifying distributed patterns of fMRI activity in human visual cortex," Neuro Image, vol. 19, pp. 261-270, 2003. (Pubitemid 39665678)
    • (2003) NeuroImage , vol.19 , Issue.2 , pp. 261-270
    • Cox, D.D.1    Savoy, R.L.2
  • 10
    • 19344370474 scopus 로고    scopus 로고
    • Support vector machines for temporal classification of block design fMRI data
    • DOI 10.1016/j.neuroimage.2005.01.048, PII S1053811905000893
    • S. LaConte, S. Strother, V. Cherkassky, J. Anderson, and X. Hu, "Sup- port vector machines for temporal classification of block design fMRI data," Neuro Image, vol. 26, no. 2, pp. 317-329, 2005. (Pubitemid 40719814)
    • (2005) NeuroImage , vol.26 , Issue.2 , pp. 317-329
    • LaConte, S.1    Strother, S.2    Cherkassky, V.3    Anderson, J.4    Hu, X.5
  • 11
    • 35748950120 scopus 로고    scopus 로고
    • Theoretical, statistical, and practical perspectives on pattern-based classification approaches to the analysis of functional neuroimaging data
    • DOI 10.1162/jocn.2007.19.11.1735
    • A. J. O'Toole, F. Jiang, H. Abdi, N. Pénard, J. P. Dunlop, and M. A. Parent, "Theoretical, statistical, and practical perspectives on pat- tern-based classification approaches to the analysis of functional neu- roimagingdata,"J. Cognitive Neurosci.,vol. 19,no. 11,pp. 1735-1752, 2007. (Pubitemid 350043418)
    • (2007) Journal of Cognitive Neuroscience , vol.19 , Issue.11 , pp. 1735-1752
    • O'Toole, A.J.1    Jiang, F.2    Abdi, H.3    Penard, N.4    Dunlop, J.P.5    Parent, M.A.6
  • 12
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans
    • J.-D. Haynes and G. Rees, "Decoding mental states from brain activity in humans," Nat. Rev. Neurosci., vol. 7, p. 523, 2006.
    • (2006) Nat. Rev. Neurosci. , vol.7 , pp. 523
    • Haynes, J.-D.1    Rees, G.2
  • 13
    • 17844380475 scopus 로고    scopus 로고
    • Decoding the visual and subjective contents of the human brain
    • Y. Kamitani and F. Tong, "Decoding the visual and subjective contents of the human brain," Nat. Neurosci., vol. 8, p. 679, 2005.
    • (2005) Nat. Neurosci. , vol.8 , pp. 679
    • Kamitani, Y.1    Tong, F.2
  • 14
    • 41149148634 scopus 로고    scopus 로고
    • Identifying natural images from human brain activity
    • DOI 10.1038/nature06713, PII NATURE06713
    • K. N. Kay, T. Naselaris, R. J. Prenger, and J. L. Gallant, "Identifying natural images from human brain activity," Nature, vol. 452, pp. 352-355, 2008. (Pubitemid 351430789)
    • (2008) Nature , vol.452 , Issue.7185 , pp. 352-355
    • Kay, K.N.1    Naselaris, T.2    Prenger, R.J.3    Gallant, J.L.4
  • 15
    • 45749091592 scopus 로고    scopus 로고
    • Predicting human brain activity associated with the meanings of nouns
    • DOI 10.1126/science.1152876
    • T. M. Mitchell, S. V. Shinkareva, A. Carlson, K.-M. Chang, V. L. Malave, R. A. Mason, and M. A. Just, "Predicting human brain ac- tivity associated with the meanings of nouns," Science, vol. 320, no. 5880, pp. 1191-1195, 2008. (Pubitemid 351929502)
    • (2008) Science , vol.320 , Issue.5880 , pp. 1191-1195
    • Mitchell, T.M.1    Shinkareva, S.V.2    Carlson, A.3    Chang, K.-M.4    Malave, V.L.5    Mason, R.A.6    Just, M.A.7
  • 16
    • 67649239046 scopus 로고    scopus 로고
    • Mathematics as cortical recycling: Recruitment of an area involved in eye movements during mental arithmetic
    • Jun.
    • A. Knops, B. Thirion, E. Hubbard, V. Michel, and S. Dehaene, "Mathematics as cortical recycling: Recruitment of an area involved in eye movements during mental arithmetic," Science, vol. 324, pp. 1583-1585, Jun. 2009.
    • (2009) Science , vol.324 , pp. 1583-1585
    • Knops, A.1    Thirion, B.2    Hubbard, E.3    Michel, V.4    Dehaene, S.5
  • 17
    • 0035964792 scopus 로고    scopus 로고
    • Distributed and overlapping representations of faces and objects in ventral temporal cortex
    • DOI 10.1126/science.1063736
    • J. V. Haxby, M. I. Gobbini, M. L. Furey, A. Ishai, J. L. Schouten, and P. Pietrini, "Distributed and overlapping representations of faces and objects in ventral temporal cortex," Science, vol. 293, no. 5539, pp. 2425-2430, 2001. (Pubitemid 32917318)
    • (2001) Science , vol.293 , Issue.5539 , pp. 2425-2430
    • Haxby, J.V.1    Gobbini, M.I.2    Furey, M.L.3    Ishai, A.4    Schouten, J.L.5    Pietrini, P.6
  • 18
    • 71149111015 scopus 로고    scopus 로고
    • Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural se- mantic basis discovery
    • H. Liu, M. Palatucci, and J. Zhang, "Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural se- mantic basis discovery," in ICML'09: Proc. 26th Annu. Int. Conf. Mach. Learn., 2009, pp. 649-656.
    • (2009) ICML'09: Proc. 26th Annu. Int. Conf. Mach. Learn. , pp. 649-656
    • Liu, H.1    Palatucci, M.2    Zhang, J.3
  • 19
    • 55149117963 scopus 로고    scopus 로고
    • Prediction and interpretation of distributed neural activity with sparse models
    • M. K. Carroll, G. A. Cecchi, I. Rish, R. Garg, and A. R. Rao, "Prediction and interpretation of distributed neural activity with sparse models,"Neuro Image, vol. 44, no. 1, pp. 112-122, 2009.
    • (2009) Neuro Image , vol.44 , Issue.1 , pp. 112-122
    • Carroll, M.K.1    Cecchi, G.A.2    Rish, I.3    Garg, R.4    Rao, A.R.5
  • 21
    • 33744936017 scopus 로고    scopus 로고
    • FMRI pattern classification using neuroanatomically constrained boosting
    • DOI 10.1016/j.neuroimage.2006.01.022, PII S1053811906000498
    • M. Martnez-Ramn, V. Koltchinskii, G. L. Heileman, and S. Posse, "fMRI pattern classification using neuroanatomically constrained boosting," Neuro Image, vol. 31, no. 3, pp. 1129-1141, 2006. (Pubitemid 43851322)
    • (2006) NeuroImage , vol.31 , Issue.3 , pp. 1129-1141
    • Martinez-Ramon, M.1    Koltchinskii, V.2    Heileman, G.L.3    Posse, S.4
  • 22
    • 77951976541 scopus 로고    scopus 로고
    • Sparse logistic regression for whole-brain classification of fMRI data
    • S. Ryali, K. Supekar, D. A. Abrams, and V. Menon, "Sparse logistic regression for whole-brain classification of fMRI data," Neuro Image, vol. 51, no. 2, pp. 752-764, 2010.
    • (2010) Neuro Image , vol.51 , Issue.2 , pp. 752-764
    • Ryali, S.1    Supekar, K.2    Abrams, D.A.3    Menon, V.4
  • 23
    • 77950535667 scopus 로고    scopus 로고
    • Linking brain-wide multivoxel activation patterns to be- haviour: Examples fromlanguage and math
    • R. D. Raizada, F.-M. Tsao, H.-M. Liu, I. D. Holloway, D. Ansari, and P. K. Kuhl, "Linking brain-wide multivoxel activation patterns to be- haviour: Examples fromlanguage and math," Neuro Image, vol. 51, no. 1, pp. 462-471, 2010.
    • (2010) Neuro Image , vol.51 , Issue.1 , pp. 462-471
    • Raizada, R.D.1    Tsao, F.-M.2    Liu, H.-M.3    Holloway, I.D.4    Ansari, D.5    Kuhl, P.K.6
  • 24
    • 55349089531 scopus 로고    scopus 로고
    • Sparse estimation automatically selects voxels relevant for the de- coding of fMRI activity patterns
    • O. Yamashita, M. aki Sato, T. Yoshioka, F. Tong, and Y. Kamitani, "Sparse estimation automatically selects voxels relevant for the de- coding of fMRI activity patterns," Neuro Image, vol. 42, no. 4, pp. 1414-1429, 2008.
    • (2008) Neuro Image , vol.42 , Issue.4 , pp. 1414-1429
    • Yamashita, O.1    Aki Sato, M.2    Yoshioka, T.3    Tong, F.4    Kamitani, Y.5
  • 25
    • 36048980266 scopus 로고    scopus 로고
    • Bayesian decoding of brain images
    • DOI 10.1016/j.neuroimage.2007.08.013, PII S1053811907007203
    • K. Friston, C. Chu, J. Mourao-Miranda, O. Hulme, G. Rees, W. Penny, and J. Ashburner, "Bayesian decoding of brain images," Neuro Image, vol. 39, pp. 181-205, Jan. 2008. (Pubitemid 350102208)
    • (2008) NeuroImage , vol.39 , Issue.1 , pp. 181-205
    • Friston, K.1    Chu, C.2    Mourao-Miranda, J.3    Hulme, O.4    Rees, G.5    Penny, W.6    Ashburner, J.7
  • 26
    • 79959802676 scopus 로고    scopus 로고
    • Adaptive multi-class Bayesian sparse regression\-An application to brain activity classi- fication
    • London, U.K. Sep.
    • V. Michel, E. Eger, C. Keribin, and B. Thirion, "Adaptive multi-class Bayesian sparse regression\-An application to brain activity classi- fication," in MICCAI'09 Workshop Anal. Functional Med. Images, London, U.K., Sep. 2009, p. 1.
    • (2009) MICCAI'09 Workshop Anal. Functional Med. Images , pp. 1
    • Michel, V.1    Eger, E.2    Keribin, C.3    Thirion, B.4
  • 28
    • 79959786904 scopus 로고    scopus 로고
    • A super- vised clustering approach for extracting predictive information from brain activation images
    • San Francisco, CA
    • V. Michel, E. Eger, C. Keribin, J.-B. Poline, and B. Thirion, "A super- vised clustering approach for extracting predictive information from brain activation images," in MMBIA'10, San Francisco, CA, 2010, p. 28.
    • (2010) MMBIA'10 , pp. 28
    • Michel, V.1    Eger, E.2    Keribin, C.3    Poline, J.-B.4    Thirion, B.5
  • 30
    • 28244492778 scopus 로고    scopus 로고
    • Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
    • DOI 10.1016/j.neuroimage.2005.06.070, PII S1053811905004787
    • J. Mourño-Miranda, A. L. Bokde, C. Born, H. Hampel, and M. Stetter, "Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data," Neuro Image, vol. 28, no. 4, pp. 980-995, 2005. (Pubitemid 41713632)
    • (2005) NeuroImage , vol.28 , Issue.4 , pp. 980-995
    • Mourao-Miranda, J.1    Bokde, A.L.W.2    Born, C.3    Hampel, H.4    Stetter, M.5
  • 31
    • 34347333571 scopus 로고    scopus 로고
    • Support vector machine learning-based fMRI data group analysis
    • DOI 10.1016/j.neuroimage.2007.03.072, PII S1053811907002145
    • Z. Wang, A. R. Childress, J. Wang, and J. A. Detre, "Support vector machine learning-based fMRI data group analysis," Neuro Image, vol. 36, no. 4, pp. 1139-1151, 2007. (Pubitemid 47008958)
    • (2007) NeuroImage , vol.36 , Issue.4 , pp. 1139-1151
    • Wang, Z.1    Childress, A.R.2    Wang, J.3    Detre, J.A.4
  • 32
    • 38649096007 scopus 로고    scopus 로고
    • Brain reading using full brain sup- port vector machines for object recognition: There is no face identifi- cation area
    • S. J. Hanson and Y. O. Halchenko, "Brain reading using full brain sup- port vector machines for object recognition: There is no face identifi- cation area," Neural Computat., vol. 20, no. 2, pp. 486-503, 2008.
    • (2008) Neural Computat. , vol.20 , Issue.2 , pp. 486-503
    • Hanson, S.J.1    Halchenko, Y.O.2
  • 33
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • H. Zou and T. Hastie, "Regularization and variable selection via the elastic net," J. R. Stat. Soc. B, vol. 67, p. 301, 2005.
    • (2005) J. R. Stat. Soc. B , vol.67 , pp. 301
    • Zou, H.1    Hastie, T.2
  • 34
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani, "Regression shrinkage and selection via the lasso," J. R. Stat. Soc. B, vol. 58, p. 267, 1996.
    • (1996) J. R. Stat. Soc. B , vol.58 , pp. 267
    • Tibshirani, R.1
  • 35
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • A. E. Hoerl and R. W. Kennard, "Ridge regression: Biased estimation for nonorthogonal problems," Technometrics, vol. 12, pp. 55-67, 1970.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 36
    • 33746835024 scopus 로고    scopus 로고
    • Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fMRI datasets
    • DOI 10.1002/hbm.20210
    • B. Thirion, G. Flandin, P. Pinel, A. Roche, P. Ciuciu, and J.-B. Poline, "Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fMRI datasets," Hum. Brain Mapp., vol. 27, no. 8, pp. 678-693, 2006. (Pubitemid 44182456)
    • (2006) Human Brain Mapping , vol.27 , Issue.8 , pp. 678-693
    • Thirion, B.1    Flandin, G.2    Pinel, P.3    Roche, A.4    Ciuciu, P.5    Poline, J.-B.6
  • 37
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • Jan.
    • L. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Physica D, pp. 259-268, Jan. 1992.
    • (1992) Physica D , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 38
    • 1242352408 scopus 로고    scopus 로고
    • An algorithm for total variation minimization and ap- plications
    • A. Chambolle, "An algorithm for total variation minimization and ap- plications," J. Math. Imag. Vis., vol. 20, no. 1-2, pp. 89-97, 2004.
    • (2004) J. Math. Imag. Vis. , vol.20 , Issue.1-2 , pp. 89-97
    • Chambolle, A.1
  • 39
    • 4043141423 scopus 로고    scopus 로고
    • Maps in the brain: What can we learn from them?
    • DOI 10.1146/annurev.neuro.27.070203.144226
    • D. B. Chklovskii and A. A. Koulakov, "Maps in the brain: What can we learn from them?," Annu. Rev. Neurosci., vol. 27, no. 1, pp. 369-392, 2004. (Pubitemid 39056072)
    • (2004) Annual Review of Neuroscience , vol.27 , pp. 369-392
    • Chklovskii, D.B.1    Koulakov, A.A.2
  • 40
    • 34548551168 scopus 로고    scopus 로고
    • SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
    • DOI 10.1109/ICDM.2005.141, 1565706, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
    • J. Stoeckel and G. Fung, "SVM feature selection for classification of SPECT images of alzheimers disease using spatial information," in IEEE Int. Conf. DataMining, 2005, pp. 410-417. (Pubitemid 47385720)
    • (2005) Proceedings - IEEE International Conference on Data Mining, ICDM , pp. 410-417
    • Stoeckel, J.1    Fung, G.2
  • 41
    • 77957079247 scopus 로고    scopus 로고
    • Parametric maximum flow algorithms for fast total variation minimization
    • D. Goldfarb and W. Yin, "Parametric maximum flow algorithms for fast total variation minimization," SIAMJ. Sci. Comput., vol. 31, pp. 3712-3743, 2009.
    • (2009) SIAMJ. Sci. Comput. , vol.31 , pp. 3712-3743
    • Goldfarb, D.1    Yin, W.2
  • 42
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • DOI 10.1002/cpa.20042
    • I. Daubechies, M. Defrise, and C. De Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint," Commun. Pure Appl. Math., vol. 57, no. 11, pp. 1413-1457, 2004. (Pubitemid 39427442)
    • (2004) Communications on Pure and Applied Mathematics , vol.57 , Issue.11 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 43
    • 30844438177 scopus 로고    scopus 로고
    • Signal recovery by proximal forward-backward splitting
    • DOI 10.1137/050626090
    • P. L. Combettes and V. R. Wajs, "Signal recovery by proximal forward- backward splitting," Multiscale Modeling Simulation, vol. 4, no. 4, pp. 1168-1200, 2005. (Pubitemid 44932287)
    • (2005) Multiscale Modeling and Simulation , vol.4 , Issue.4 , pp. 1168-1200
    • Combettes, P.L.1    Wajs, V.R.2
  • 44
    • 67651063011 scopus 로고    scopus 로고
    • Univ. Catholique de Louvain Center for Operations Research andEconometrics (CORE) Sep. [Online]. Available
    • Y. Nesterov, Gradient methods for minimizing composite objective function Univ. Catholique de Louvain, Center for Operations Research andEconometrics (CORE), Sep. 2007 [Online]. Available: http://ideas. repec.org/p/cor/louvco/ 2007076.html
    • (2007) Gradient Methods for Minimizing Composite Objective Function
    • Nesterov, Y.1
  • 45
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding al- gorithm for linear inverse problems
    • A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding al- gorithm for linear inverse problems," SIAM J. Imag. Sci., vol. 2, no. 1, pp. 183-202, 2009.
    • (2009) SIAM J. Imag. Sci. , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 46
    • 0000276924 scopus 로고
    • Proximité et dualité dans un espace hilbertien
    • J. Moreau, "Proximité et dualité dans un espace hilbertien," Bull. Soc. Math. France, vol. 93, pp. 273-299, 1965.
    • (1965) Bull. Soc. Math. France , vol.93 , pp. 273-299
    • Moreau, J.1
  • 47
    • 79959803111 scopus 로고    scopus 로고
    • Approximation accuracy, gradient methods, and error bound for structured convex optimization
    • submitted for publication
    • P. Tseng, "Approximation accuracy, gradient methods, and error bound for structured convex optimization," Math Program. B, 2009, submitted for publication.
    • (2009) Math Program. B
    • Tseng, P.1
  • 49
    • 70449382033 scopus 로고    scopus 로고
    • Improving M/EEG source localization with an inter-condition sparse prior
    • A. Gramfort and M. Kowalski, "Improving M/EEG source localization with an inter-condition sparse prior," in IEEE Int. Symp. Biomed. Imag., 2009, pp. 141-144.
    • (2009) IEEE Int. Symp. Biomed. Imag. , pp. 141-144
    • Gramfort, A.1    Kowalski, M.2
  • 50
    • 70350593691 scopus 로고    scopus 로고
    • Fast gradient-based algorithms for con- strained total variation image denoising and deblurring problems
    • Nov.
    • A. Beck and M. Teboulle, "Fast gradient-based algorithms for con- strained total variation image denoising and deblurring problems," IEEE Trans. Imag. Process., vol. 18, no. 11, pp. 2419-2434, Nov. 2009.
    • (2009) IEEE Trans. Imag. Process. , vol.18 , Issue.11 , pp. 2419-2434
    • Beck, A.1    Teboulle, M.2
  • 55
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik, "Support vector networks," Mach. Learn., vol. 20, p. 273, 1995.
    • (1995) Mach. Learn. , vol.20 , pp. 273
    • Cortes, C.1    Vapnik, V.2
  • 56
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Jan.
    • G. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. 14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.1
  • 57
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • J. Friedman, T. Hastie, and R. Tibshirani, "Regularization paths for generalized linear models via coordinate descent," J. Stat. Software, vol. 33, no. 1, 2010.
    • (2010) J. Stat. Software , vol.33 , Issue.1
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 58
    • 79959800660 scopus 로고    scopus 로고
    • Scikit-Learn [Online] Available
    • Scikit-Learn [Online]. Available: http://scikit-learn.sourceforge.net/ ver. 0.2
  • 59
    • 57349088146 scopus 로고    scopus 로고
    • Graded size sensitivity of ob- ject exemplar evoked activity patterns in human LOC subregions
    • E. Eger, C. Kell, and A. Kleinschmidt, "Graded size sensitivity of ob- ject exemplar evoked activity patterns in human LOC subregions," J. Neurophysiol., vol. 100, no. 4, pp. 2038-2047, 2008.
    • (2008) J. Neurophysiol. , vol.100 , Issue.4 , pp. 2038-2047
    • Eger, E.1    Kell, C.2    Kleinschmidt, A.3
  • 60
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, "Gene selection for cancer classification using support vector machines," Mach. Learn., vol. 46, no. 1-3, pp. 389-422, 2002. (Pubitemid 34129977)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.