-
1
-
-
4344705249
-
Statistical parametric maps in functional imaging: A general linear approach
-
K. J. Friston, A. P. Holmes, K. J. Worsley, J.-B. Poline, C. Frith, and R. S. J. Frackowiak, "Statistical parametric maps in functional imaging: A general linear approach," Human Brain Mapp., vol. 2, pp. 189-210, 1995. (Pubitemid 124008664)
-
(1994)
Human Brain Mapping
, vol.2
, Issue.4
, pp. 189-210
-
-
Friston, K.J.1
Holmes, A.P.2
Worsley, K.J.3
Poline, J.-P.4
Frith, C.D.5
Frackowiak, R.S.J.6
-
2
-
-
0023034513
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
20
-
-
79959798959
-
Kernel regression for fMRI pattern prediction
-
C. Chu, Y. Ni, G. Tan, C. J. Saunders, and J. Ashburner, "Kernel regression for fMRI pattern prediction," Neuro Image, 2010.
-
(2010)
Neuro Image
-
-
Chu, C.1
Ni, Y.2
Tan, G.3
Saunders, C.J.4
Ashburner, J.5
-
21
-
-
33744936017
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
29
-
-
3242802095
-
Learning to decode cognitive states from brain images
-
T. M. Mitchell, R. Hutchinson, R. S. Niculescu, F. Pereira, X. Wang, M. Just, and S. Newman, "Learning to decode cognitive states from brain images," Mach. Learn., vol. 57, no. 1, pp. 145-175, 2004.
-
(2004)
Mach. Learn.
, vol.57
, Issue.1
, pp. 145-175
-
-
Mitchell, T.M.1
Hutchinson, R.2
Niculescu, R.S.3
Pereira, F.4
Wang, X.5
Just, M.6
Newman, S.7
-
30
-
-
28244492778
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
-
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
-
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
-
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
-
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
-
48
-
-
77952328480
-
-
Ph.D. dissertation, Telecom ParisTech., Paris, France
-
A. Gramfort, "Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision," Ph.D. dissertation, Telecom ParisTech., Paris, France, 2009.
-
(2009)
Mapping, Timing and Tracking Cortical Activations with MEG and EEG: Methods and Application to Human Vision
-
-
Gramfort, A.1
-
49
-
-
70449382033
-
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
-
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
-
53
-
-
21244437589
-
Sparse multinomial logistic regression: Fast algorithms and generalization bounds
-
DOI 10.1109/TPAMI.2005.127
-
B. Krishnapuram, L. Carin, M. A. Figueiredo, and A. J. Hartemink, "Sparse multinomial logistic regression: Fast algorithms and generalization bounds," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 6, pp. 957-968, Jun. 2005. (Pubitemid 40889845)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.6
, pp. 957-968
-
-
Krishnapuram, B.1
Carin, L.2
Figueiredo, M.A.T.3
Hartemink, A.J.4
-
55
-
-
34249753618
-
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
-
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
-
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
-
-
Scikit-Learn [Online] Available
-
Scikit-Learn [Online]. Available: http://scikit-learn.sourceforge.net/ ver. 0.2
-
-
-
-
59
-
-
57349088146
-
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
-
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
-
61
-
-
33644870032
-
Information-based functional brain mapping
-
DOI 10.1073/pnas.0600244103
-
N. Kriegeskorte, R. Goebel, and P. Bandettini, "Information-based functional brain mapping," Proc. Nat Acad. Sci. USA, vol. 103, no. 10, pp. 3863-3868, Mar. 2006. (Pubitemid 43376646)
-
(2006)
Proceedings of the National Academy of Sciences of the United States of America
, vol.103
, Issue.10
, pp. 3863-3868
-
-
Kriegeskorte, N.1
Goebel, R.2
Bandettini, P.3
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