-
1
-
-
0033933649
-
Voxel-based morphometry-the methods
-
J. Ashburner and K. Friston. Voxel-based morphometry-the methods. Neuroimage, 11(6):805-821, 2000.
-
(2000)
Neuroimage
, vol.11
, Issue.6
, pp. 805-821
-
-
Ashburner, J.1
Friston, K.2
-
3
-
-
0030832881
-
The independent components of natural scenes are edge filters
-
A. Bell and T. Sejnowski. The independent components of natural scenes are edge filters. Vision research, 37(23):3327-3338, 1997.
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3327-3338
-
-
Bell, A.1
Sejnowski, T.2
-
4
-
-
0035683405
-
Learning representative local features for face detection, IEEE
-
X. Chen, L. Gu, S. Li, and H. Zhang. Learning representative local features for face detection, IEEE. In Conference on Computer Vision and Pattern Recognition, volume 1, pages 1126-1131, 2001.
-
(2001)
Conference on Computer Vision and Pattern Recognition
, vol.1
, pp. 1126-1131
-
-
Chen, X.1
Gu, L.2
Li, S.3
Zhang, H.4
-
5
-
-
0028416938
-
Independent component analysis, a new concept?
-
P. Comon et al. Independent component analysis, a new concept? Signal processing, 36(3):287-314, 1994.
-
(1994)
Signal Processing
, vol.36
, Issue.3
, pp. 287-314
-
-
Comon, P.1
-
7
-
-
0035208958
-
Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated longitudinal atrophy
-
C. Davatzikos, A. Genc, D. Xu, and S. Resnick. Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy. NeuroImage, 14(6):1361-1369, 2001.
-
(2001)
NeuroImage
, vol.14
, Issue.6
, pp. 1361-1369
-
-
Davatzikos, C.1
Genc, A.2
Xu, D.3
Resnick, S.4
-
10
-
-
0031948556
-
White matter changes with normal aging
-
Guttmann et al. White matter changes with normal aging. Neurology, 50(4):972, 1998.
-
(1998)
Neurology
, vol.50
, Issue.4
, pp. 972
-
-
Guttmann1
-
12
-
-
33745765253
-
Learning sparse representations by non-negative matrix factorization and sequential cone programming
-
M. Heiler and C. Schnorr. Learning sparse representations by non-negative matrix factorization and sequential cone programming. The Journal of Machine Learning Research, 7:1407, 2006.
-
(2006)
The Journal of Machine Learning Research
, vol.7
, pp. 1407
-
-
Heiler, M.1
Schnorr, C.2
-
13
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. Hoyer. Non-negative matrix factorization with sparseness constraints. The Journal of Machine Learning Research, 5:1457-1469, 2004.
-
(2004)
The Journal of Machine Learning Research
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.1
-
15
-
-
31544468696
-
Non-smooth Nonnegative Matrix Factorization (nsNMF)
-
K. Kochi, D. Lehmann, R. Pascual-Marqui, et al. Non-smooth Nonnegative Matrix Factorization (nsNMF). IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(3):415, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.3
, pp. 415
-
-
Kochi, K.1
Lehmann, D.2
Pascual-Marqui, R.3
-
16
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D. Lee and H. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.1
Seung, H.2
-
19
-
-
84950441056
-
On principal Hessian directions for data visualization and dimension reduction: Another application of Stein's lemma
-
K. Li. On principal Hessian directions for data visualization and dimension reduction: Another application of Stein's lemma. Journal of the American Statistical Association, 87(420):1025-1039, 1992.
-
(1992)
Journal of the American Statistical Association
, vol.87
, Issue.420
, pp. 1025-1039
-
-
Li, K.1
-
20
-
-
0035683536
-
Learning spatially localized, parts-based representation
-
IEEE Computer Society
-
S. Li, X. Hou, H. Zhang, and Q. Cheng. Learning spatially localized, parts-based representation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1. IEEE Computer Society, 2001.
-
(2001)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, vol.1
-
-
Li, S.1
Hou, X.2
Zhang, H.3
Cheng, Q.4
-
21
-
-
0029891767
-
Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging
-
M. Matsumae, R. Kikinis, et al. Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. Journal of neurosurgery, 84(6):982-991, 1996.
-
(1996)
Journal of Neurosurgery
, vol.84
, Issue.6
, pp. 982-991
-
-
Matsumae, M.1
Kikinis, R.2
-
22
-
-
33744831224
-
Effects of healthy aging measured by intracranial compartment volumes using a designed mr brain database
-
B
-
Z. Mortamet, B et al. Effects of healthy aging measured by intracranial compartment volumes using a designed mr brain database. LECTURE NOTES IN COMPUTER SCIENCE, 3749:383, 2005.
-
(2005)
Lecture Notes in Computer Science
, vol.3749
, pp. 383
-
-
Mortamet, Z.1
-
23
-
-
49449120034
-
Hierarchical structure in perceptual representation
-
S. Palmer. Hierarchical structure in perceptual representation. Cognitive Psychology, 9(4):441-474, 1977.
-
(1977)
Cognitive Psychology
, vol.9
, Issue.4
, pp. 441-474
-
-
Palmer, S.1
-
24
-
-
70450208929
-
Nonnegative Matrix Factorization with Earth Movers Distance Metric
-
R. Sandler and M. Lindenbaum. Nonnegative Matrix Factorization with Earth Movers Distance Metric. CVPR, 2009.
-
(2009)
CVPR
-
-
Sandler, R.1
Lindenbaum, M.2
-
25
-
-
7044260964
-
Advances in functional and structural MR image analysis and implementation as FSL
-
S. Smith, M. Jenkinson, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23:208-219, 2004.
-
(2004)
Neuroimage
, vol.23
, pp. 208-219
-
-
Smith, S.1
Jenkinson, M.2
-
26
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.1
Silva, V.2
Langford, J.3
-
29
-
-
11144327494
-
Fisher non-negative matrix factorization for learning local features
-
Citeseer
-
Y. Wang et al. Fisher non-negative matrix factorization for learning local features. In Proc. Asian Conf. on Comp. Vision, pages 27-30. Citeseer, 2004.
-
(2004)
Proc. Asian Conf. on Comp. Vision
, pp. 27-30
-
-
Wang, Y.1
-
30
-
-
65549131149
-
Bayesian analysis of neuroimaging data in FSL
-
M. Woolrich et al. Bayesian analysis of neuroimaging data in FSL. NeuroImage, 45(1S1):173-186, 2009.
-
(2009)
NeuroImage
, vol.45
, Issue.1 S1
, pp. 173-186
-
-
Woolrich, M.1
|