-
1
-
-
0031185845
-
Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
-
P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. PAMI, 19(7):711-720, 1997.
-
(1997)
PAMI
, vol.19
, Issue.7
, pp. 711-720
-
-
Belhumeur, P.N.1
Hespanha, J.P.2
Kriegman, D.J.3
-
2
-
-
31644433509
-
Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling
-
S. Fidler, D. Skočaj, and A. Leonardis. Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. PAMI, 28(3):337-350, 2006.
-
(2006)
PAMI
, vol.28
, Issue.3
, pp. 337-350
-
-
Fidler, S.1
Skočaj, D.2
Leonardis, A.3
-
3
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R. A. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179-188, 1936.
-
(1936)
Annals of Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.A.1
-
4
-
-
4644223451
-
The amsterdam library of object images
-
J. M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders. The Amsterdam Library of Object Images. Computer Vision, 61(1):103-112, 2005.
-
(2005)
Computer Vision
, vol.61
, Issue.1
, pp. 103-112
-
-
Geusebroek, J.M.1
Burghouts, G.J.2
Smeulders, A.W.M.3
-
5
-
-
0001576029
-
Face recognition: From theory to applications
-
chapter Characterizing virtual eigensignatures for general purpose face recognition Springer
-
D. B. Graham and N. M. Allinson. Face recognition: From theory to applications, volume 163 of NATO ASI Series F, Computer and Systems Sciences, chapter Characterizing virtual eigensignatures for general purpose face recognition, pages 446-456. Springer, 1998.
-
(1998)
NATO ASI Series F, Computer and Systems Sciences
, vol.163
, pp. 446-456
-
-
Graham, D.B.1
Allinson, N.M.2
-
6
-
-
0033685665
-
Convergence analysis of online linear discriminant analysis
-
K. Hiraoka, S. Yoshizawa, K. Hidai, M. Hamahira, H. Mizoguchi, and T. Mishima. Convergence analysis of online linear discriminant analysis. In Proc. of the Int. Joint Conf. on Neural Networks, volume 3, pages 387-391, 2000.
-
(2000)
Proc. of the Int. Joint Conf. on Neural Networks
, vol.3
, pp. 387-391
-
-
Hiraoka, K.1
Yoshizawa, S.2
Hidai, K.3
Hamahira, M.4
Mizoguchi, H.5
Mishima, T.6
-
7
-
-
33745933878
-
Combining generative models and fisher kernels for object recognition
-
Alex D. Holub, Max Welling, and Pietro Perona. Combining generative models and fisher kernels for object recognition. In Proc. IEEE Intern. Conf. on Computer Vision, volume I, pages 136-143, 2005.
-
(2005)
Proc. IEEE Intern. Conf. on Computer Vision
, vol.1
, pp. 136-143
-
-
Holub, A.D.1
Welling, M.2
Perona, P.3
-
8
-
-
58149421595
-
Analysis of a complex of statistical variables into principal components
-
H. Hotelling. Analysis of a complex of statistical variables into principal components. Educational Psychology, 24:417-441, 1933.
-
(1933)
Educational Psychology
, vol.24
, pp. 417-441
-
-
Hotelling, H.1
-
9
-
-
33745918661
-
A generative/discriminative learning algorithm for image classifications
-
Yi Li, Linda G. Shapiro, and Jeff A. Bilmes. A generative/discriminative learning algorithm for image classifications. In Proc. IEEE Intern. Conf. on Computer Vision, volume II, pages 1605-1612, 2005.
-
(2005)
Proc. IEEE Intern. Conf. on Computer Vision
, vol.2
, pp. 1605-1612
-
-
Li, Y.1
Shapiro, L.G.2
Bilmes, J.A.3
-
10
-
-
85081802337
-
Adaptive discriminative generative model and its applications
-
Ruei-Sung Lin, David Ross, Jongwoo Lim, and Ming-Hsuan Yang. Adaptive discriminative generative model and its applications. In Proc. Conf. on Neural Information Processing Systems, pages 801-808, 2005.
-
(2005)
Proc. Conf. on Neural Information Processing Systems
, pp. 801-808
-
-
Lin, R.1
Ross, D.2
Lim, J.3
Yang, M.4
-
11
-
-
4043148731
-
Combining classifiers for face recognition
-
X. Lu, Y.Wang, and A.K. Jain. Combining classifiers for face recognition. In Proc. of the Int. Conf. on Multimedia and Expo, volume 3, pages 13-16, 2003.
-
(2003)
Proc. of the Int. Conf. on Multimedia and Expo
, vol.3
, pp. 13-16
-
-
Lu, X.1
Wang, Y.2
Jain, A.K.3
-
13
-
-
0035248924
-
PCA versus LDA
-
A. M. Martínez and A. C. Kak. PCA versus LDA. PAMI, 23(2):228-233, 2001.
-
(2001)
PAMI
, vol.23
, Issue.2
, pp. 228-233
-
-
Martínez, A.M.1
Kak, A.C.2
-
15
-
-
26844499076
-
Incremental linear discriminassignmentant analysis for classification of data streams
-
S. Pang, S. Ozawa, and N. Kasabov. Incremental linear discriminassignmentant analysis for classification of data streams. Systems, Man and Cybernetics, Part B, 35(5):905-914, 2005.
-
(2005)
Systems, Man and Cybernetics, Part B
, vol.35
, Issue.5
, pp. 905-914
-
-
Pang, S.1
Ozawa, S.2
Kasabov, N.3
-
16
-
-
0344982975
-
Weighted and robust incremental method for subspace learning
-
D. Skočaj and A. Leonardis. Weighted and robust incremental method for subspace learning. In ICCV 2003, volume 2, pages 1494-1501, 2003.
-
(2003)
ICCV
, vol.2
, Issue.2003
, pp. 1494-1501
-
-
Skočaj, D.1
Leonardis, A.2
-
17
-
-
0036487285
-
Why can LDA be performed in PCA transformed space?
-
J. Yang and J.-Y. Yang. Why can LDA be performed in PCA transformed space? PR, 36:563-566, 2003.
-
(2003)
PR
, vol.36
, pp. 563-566
-
-
Yang, J.1
Yang, J.-Y.2
-
18
-
-
12244268926
-
IDR/QR: An incremental dimension reduction algorithm via QR decomposition
-
J. Ye, H. Xiong Q. Li, H. Park, R. Janardan, and V. Kumar. IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. In Proc. of the ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pages 364-373, 2004.
-
(2004)
Proc. of the ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining
, pp. 364-373
-
-
Ye, J.1
Xiong Li, Q.H.2
Park, H.3
Janardan, R.4
Kumar, V.5
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