-
2
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
Hardoon, D.R., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: An overview with application to learning methods. Neural Computation 16(12), 2639- 2664 (2004)
-
(2004)
Neural Computation
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.2
Shawe-Taylor, J.3
-
3
-
-
38049026697
-
Multi-view regression via canonical correlation analysis
-
Bshouty, N.H., Gentile, C. (eds.) COLT. Springer, Heidelberg
-
Kakade, S.M., Foster, D.P.: Multi-view regression via canonical correlation analysis. In: Bshouty, N.H., Gentile, C. (eds.) COLT. LNCS (LNAI), vol. 4539, pp. 82-96. Springer, Heidelberg (2007)
-
(2007)
LNCS (LNAI)
, vol.4539
, pp. 82-96
-
-
Kakade, S.M.1
Foster, D.P.2
-
4
-
-
80053145416
-
Multi-task feature learning via efficient l2, 1-norm minimization
-
Liu, J., Ji, S., Ye, J.: Multi-task feature learning via efficient l2, 1-norm minimization. In: UAI, pp. 339-348 (2009)
-
(2009)
UAI
, pp. 339-348
-
-
Liu, J.1
Ji, S.2
Ye, J.3
-
5
-
-
0033056267
-
Correlation between structural and functional changes in brain in an idiopathic headache syndrome
-
May, A., Ashburner, J., Büchel, C., McGonigle, D., Friston, K., Frackowiak, R., Goadsby, P.: Correlation between structural and functional changes in brain in an idiopathic headache syndrome. Nature Medicine 5(7), 836-838 (1999)
-
(1999)
Nature Medicine
, vol.5
, Issue.7
, pp. 836-838
-
-
May, A.1
Ashburner, J.2
Büchel, C.3
McGonigle, D.4
Friston, K.5
Frackowiak, R.6
Goadsby, P.7
-
6
-
-
70350061949
-
Multimodal techniques for diagnosis and prognosis of Alzheimer's disease
-
Perrin, R.J., Fagan, A.M., Holtzman, D.M.: Multimodal techniques for diagnosis and prognosis of Alzheimer's disease. Nature 461, 916-922 (2009)
-
(2009)
Nature
, vol.461
, pp. 916-922
-
-
Perrin, R.J.1
Fagan, A.M.2
Holtzman, D.M.3
-
7
-
-
84885898432
-
Deep learning-based feature representation for AD/MCI classification
-
Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. Springer, Heidelberg
-
Suk, H.-I., Shen, D.: Deep learning-based feature representation for AD/MCI classification. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. LNCS, vol. 8150, pp. 583-590. Springer, Heidelberg (2013)
-
(2013)
LNCS
, vol.8150
, pp. 583-590
-
-
Suk, H.-I.1
Shen, D.2
-
8
-
-
82255164574
-
Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression
-
Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. Springer, Heidelberg
-
Wang, H., Nie, F., Huang, H., Risacher, S., Saykin, A.J., Shen, L.: Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 115-123. Springer, Heidelberg (2011)
-
(2011)
LNCS
, vol.6893
, pp. 115-123
-
-
Wang, H.1
Nie, F.2
Huang, H.3
Risacher, S.4
Saykin, A.J.5
Shen, L.6
-
9
-
-
84861645859
-
Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
-
Westman, E., Muehlboeck, J.S., Simmons, A.: Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion. NeuroImage 62(1), 229-238 (2012)
-
(2012)
NeuroImage
, vol.62
, Issue.1
, pp. 229-238
-
-
Westman, E.1
Muehlboeck, J.S.2
Simmons, A.3
-
10
-
-
83055184373
-
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
-
Zhang, D., Shen, D.: Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. NeuroImage 59(2), 895-907 (2012)
-
(2012)
NeuroImage
, vol.59
, Issue.2
, pp. 895-907
-
-
Zhang, D.1
Shen, D.2
-
11
-
-
84862798157
-
Dimensionality reduction by mixed kernel canonical correlation analysis
-
Zhu, X., Huang, Z., Shen, H.T., Cheng, J., Xu, C.: Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recognition 45(8), 3003-3016 (2012)
-
(2012)
Pattern Recognition
, vol.45
, Issue.8
, pp. 3003-3016
-
-
Zhu, X.1
Huang, Z.2
Shen, H.T.3
Cheng, J.4
Xu, C.5
-
12
-
-
84866033003
-
Self-taught dimensionality reduction on the high-dimensional small-sized data
-
Zhu, X., Huang, Z., Yang, Y., Shen, H.T., Xu, C., Luo, J.: Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recognition 46(1), 215-229 (2013)
-
(2013)
Pattern Recognition
, vol.46
, Issue.1
, pp. 215-229
-
-
Zhu, X.1
Huang, Z.2
Yang, Y.3
Shen, H.T.4
Xu, C.5
Luo, J.6
-
13
-
-
84911457687
-
Matrix-similarity based loss function and feature selection for Alzheimer's disease diagnosis
-
Zhu, X., Suk, H.I., Shen, D.: Matrix-similarity based loss function and feature selection for Alzheimer's disease diagnosis. In: CVPR (2014)
-
(2014)
CVPR
-
-
Zhu, X.1
Suk, H.I.2
Shen, D.3
|