-
2
-
-
33750383209
-
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
-
DOI 10.1109/TSP.2006.881199
-
Aharon, M., Elad, M., and Bruckstein, A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. on Signal Processing, 54(11):4311-4322, 2006. (Pubitemid 44637761)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
6
-
-
77955217890
-
Caviar: Classification via aggregated regression and its application in classifying oasis brain database
-
Chen, T., Rangarajan, A., and Vemuri, B.C. Caviar: Classification via aggregated regression and its application in classifying oasis brain database. In ISBI, 2010.
-
(2010)
ISBI
-
-
Chen, T.1
Rangarajan, A.2
Vemuri, B.C.3
-
10
-
-
33750164640
-
Riemannian geometry for the statistical analysis of diffusion tensor data
-
DOI 10.1016/j.sigpro.2005.12.018, PII S0165168406001691
-
Fletcher, P.T. and Joshi, S. Riemannian geometry for the statistical analysis of diffusion tensor data. Signal Processing, 87(2):250-262, 2007. (Pubitemid 44602252)
-
(2007)
Signal Processing
, vol.87
, Issue.2
, pp. 250-262
-
-
Fletcher, P.T.1
Joshi, S.2
-
12
-
-
84855392809
-
Learning with structured sparsity
-
999888
-
Huang, J., Zhang, T., and Metaxas, D. Learning with structured sparsity. The Journal of Machine Learning Research, 999888:3371-3412, 2011.
-
(2011)
The Journal of Machine Learning Research
, pp. 3371-3412
-
-
Huang, J.1
Zhang, T.2
Metaxas, D.3
-
13
-
-
7044260966
-
Unbiased diffeomorphic atlas construction for computational anatomy
-
DOI 10.1016/j.neuroimage.2004.07.068, PII S1053811904003842, Mathematics in Brain Imaging
-
Joshi, S., Davis, B., Jomier, M., and Gerig, G. Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage, 23:S151-S160, 2004. (Pubitemid 39421714)
-
(2004)
NeuroImage
, vol.23
, Issue.SUPPL. 1
-
-
Joshi, S.1
Davis, B.2
Jomier, M.3
Gerig, G.4
-
14
-
-
0034133184
-
Learning overcomplete representations
-
Lewicki, M.S. and Sejnowski, T.J. Learning overcomplete representations. Neural computation, 12(2):337-365, 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.2
, pp. 337-365
-
-
Lewicki, M.S.1
Sejnowski, T.J.2
-
15
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
Mairal, J., Bach, F., Ponce, J., and Sapiro, G. Online learning for matrix factorization and sparse coding. The Journal of Machine Learning Research, 11:19-60, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
16
-
-
34548409688
-
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
-
DOI 10.1162/jocn.2007.19.9.1498
-
Marcus, D.S., Wang, T.H., Parker, J., Csernansky, J.G., Morris, J.C., and Buckner, R.L. Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults. Journal of Cognitive Neuroscience, 19(9):1498-1507, 2007. (Pubitemid 47358152)
-
(2007)
Journal of Cognitive Neuroscience
, vol.19
, Issue.9
, pp. 1498-1507
-
-
Marcus, D.S.1
Wang, T.H.2
Parker, J.3
Csernansky, J.G.4
Morris, J.C.5
Buckner, R.L.6
-
18
-
-
33744831224
-
Effects of healthy aging measured by intracranial compartment volumes using a designed MR brain database
-
Mortamet, B., Zeng, D., Gerig, G., Prastawa, M., and Bullitt, E. Effects of healthy aging measured by intracranial compartment volumes using a designed MR brain database. MICCAI, pp. 383-391, 2005.
-
(2005)
MICCAI
, pp. 383-391
-
-
Mortamet, B.1
Zeng, D.2
Gerig, G.3
Prastawa, M.4
Bullitt, E.5
-
19
-
-
0002702476
-
The imbedding problem for riemannian manifolds
-
Nash, J. The imbedding problem for riemannian manifolds. Annals of Mathematics, 63(1):20-63, 1956.
-
(1956)
Annals of Mathematics
, vol.63
, Issue.1
, pp. 20-63
-
-
Nash, J.1
-
20
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by V1?
-
DOI 10.1016/S0042-6989(97)00169-7, PII S0042698997001697
-
Olshausen, B.A. and Field, D.J. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37(23):3311-3325, 1997. (Pubitemid 27493805)
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.A.1
Field, D.J.2
-
21
-
-
29344452228
-
A riemannian framework for tensor computing
-
DOI 10.1007/s11263-005-3222-z
-
Pennec, X., Fillard, P., and Ayache, N. A riemannian framework for tensor computing. International Journal of Computer Vision, 66(1):41-66, 2006. (Pubitemid 43004671)
-
(2006)
International Journal of Computer Vision
, vol.66
, Issue.1
, pp. 41-66
-
-
Pennec, X.1
Fillard, P.2
Ayache, N.3
-
22
-
-
0001915002
-
Information and accuracy attainable in the estimation of statistical parameters
-
Rao, C.R. Information and accuracy attainable in the estimation of statistical parameters. Bull. Calcutta Math. Soc, 37(3):81-91, 1945.
-
(1945)
Bull. Calcutta Math. Soc
, vol.37
, Issue.3
, pp. 81-91
-
-
Rao, C.R.1
-
23
-
-
78149295108
-
Tensor sparse coding for region covariances
-
Sivalingam, R., Boley, D., Morellas, V., and Papanikolopoulos, N. Tensor sparse coding for region covariances. In ECCV, pp. 722-735, 2010.
-
(2010)
ECCV
, pp. 722-735
-
-
Sivalingam, R.1
Boley, D.2
Morellas, V.3
Papanikolopoulos, N.4
-
25
-
-
35148888652
-
Riemannian analysis of probability density functions with applications in vision
-
Srivastava, A., Jermyn, I., and Joshi, S. Riemannian analysis of probability density functions with applications in vision. In CVPR, 2007.
-
(2007)
CVPR
-
-
Srivastava, A.1
Jermyn, I.2
Joshi, S.3
-
26
-
-
80052890623
-
Online group-structured dictionary learning
-
Szabo, Z., Poczos, B., and Lorincz, A. Online group-structured dictionary learning. In CVPR, pp. 2865-2872, 2011.
-
(2011)
CVPR
, pp. 2865-2872
-
-
Szabo, Z.1
Poczos, B.2
Lorincz, A.3
-
28
-
-
51949097477
-
Statistical analysis on stiefel and grassmann manifolds with applications in computer vision
-
Turaga, P., Veeraraghavan, A., and Chellappa, R. Statistical analysis on stiefel and grassmann manifolds with applications in computer vision. In CVPR, 2008.
-
(2008)
CVPR
-
-
Turaga, P.1
Veeraraghavan, A.2
Chellappa, R.3
-
29
-
-
33745818927
-
Region covariance: A fast descriptor for detection and classification
-
Tuzel, O., Porikli, F., and Meer, P. Region covariance: A fast descriptor for detection and classification. In ECCV, pp. 589-600, 2006.
-
(2006)
ECCV
, pp. 589-600
-
-
Tuzel, O.1
Porikli, F.2
Meer, P.3
-
30
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., and Gong, Y. Locality-constrained linear coding for image classification. In CVPR, pp. 3360-3367, 2010.
-
(2010)
CVPR
, pp. 3360-3367
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
31
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
Yang, J., Yu, K., Gong, Y., and Huang, T. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, pp. 1794-1801, 2009.
-
(2009)
CVPR
, pp. 1794-1801
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
32
-
-
77956510751
-
Improved local coordinate coding using local tangents
-
Yu, K. and Zhang, T. Improved local coordinate coding using local tangents. In ICML, pp. 1215-1222, 2010.
-
(2010)
ICML
, pp. 1215-1222
-
-
Yu, K.1
Zhang, T.2
-
33
-
-
84863401481
-
Nonlinear learning using local coordinate coding
-
Yu, K., Zhang, T., and Gong, Y. Nonlinear learning using local coordinate coding. NIPS, 22:2223-2231, 2009.
-
(2009)
NIPS
, vol.22
, pp. 2223-2231
-
-
Yu, K.1
Zhang, T.2
Gong, Y.3
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