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1
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56449085393
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A pose-wise linear illumination manifold model for face recognition using video
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O. Arandjelovic and R. Cipolla, "A pose-wise linear illumination manifold model for face recognition using video," Comput. Vis. Image Understand., vol.113, no.1, pp. 113-125, 2009.
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Comput. Vis. Image Understand.
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Arandjelovic, O.1
Cipolla, R.2
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2
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Manifold-manifold distance with application to face recognition based on image set
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R.Wang, S. Shan, X. Chen, and W. Gao, "Manifold-manifold distance with application to face recognition based on image set," presented at the CVPR, 2008.
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The CVPR
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Wang, R.1
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Gao, W.4
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3
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68149138795
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Kernel Grassmannian distances and discriminant analysis for face recognition from image sets
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Face recognition from long-term observations
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Shakhnarovich, G.1
Fisher, J.W.2
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24644491332
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Face recognition with image sets using manifold density divergence
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O. Arandjelović, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell, "Face recognition with image sets using manifold density divergence," presented at the CVPR, 2005.
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The CVPR
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Arandjelović, O.1
Shakhnarovich, G.2
Fisher, J.3
Cipolla, R.4
Darrell, T.5
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6
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S. Satoh, "Comparative evaluation of face sequence matching for content- based video access," presented at the Int. Conf. Automatic Face and Gesture Recognition, 2000.
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The Int. Conf. Automatic Face and Gesture Recognition
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Satoh, S.1
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33745863047
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Face recognition using multi-viewpoint patterns for robot vision
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K. Fukui and O. Yamaguchi, "Face recognition using multi-viewpoint patterns for robot vision," presented at the Int. Symp. Robotics Research, 2003.
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The Int. Symp. Robotics Research
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Fukui, K.1
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11
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34247585067
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A framework for 3D object recognition using the kernel constrained mutual subspace method
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K. Fukui, B. Stenger, and O. Yamaguchi, "A framework for 3D object recognition using the kernel constrained mutual subspace method," presented at the ACCV, 2006.
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The ACCV
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Fukui, K.1
Stenger, B.2
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14
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Numerical methods for computing angles between linear subspaces
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Robust real-time face detection
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Incremental linear discriminant analysis using sufficient spanning set approximations
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Presented at, Minneapolis, MN
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T.-K. Kim, S.Wong, B. Stenger, J. Kittler, and R. Cipolla, "Incremental linear discriminant analysis using sufficient spanning set approximations," presented at the CVPR, Minneapolis, MN, 2007.
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The CVPR
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Kim, T.-K.1
Wong, S.2
Stenger, B.3
Kittler, J.4
Cipolla, R.5
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18
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0141749220
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Probabilistic recognition of human faces from video
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S. Zhou, V. Krueger, and R. Chellappa, "Probabilistic recognition of human faces from video," Comput. Vis. Image Understand., vol.91, no.1-2, pp. 214-245, 2003.
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Video-based face recognition using adaptive hidden Markov models
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Proc. CVPR
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Liu, X.1
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Video-based face recognition using probabilistic appearance manifolds
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Discriminative learning and recognition of image set classes using canonical correlations
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IEEE Trans. Pattern Anal. Mach. Intell.
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A Probabilistic Interpretation of Canonical Correlation Analysis
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The ICPR
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Hiraoka, K.1
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26
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T.-J. Chin and D. Suter, "Incremental kernel PCA for efficient nonlinear feature extraction," presented at the BMVC, 2006.
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The BMVC
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Chin, T.-J.1
Suter, D.2
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27
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33645721740
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Efficient kernel discriminant analysis via QR decomposition
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X. Tao, J. Ye, Q. Li, R. Janardan, and V. Cherkassky, "Efficient kernel discriminant analysis via QR decomposition," presented at the Advances in Neural Information Processing Systems (NIPS), Vancouver, BC, Canada, 2004.
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The Advances in Neural Information Processing Systems (NIPS)
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Tao, X.1
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Cherkassky, V.5
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28
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34948835679
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Recognizing faces of moving people by hierarchical image-set matching
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M. Nishiyama, M. Yuasa, T. Shibata, T. Wakasugi, T. Kawahara, and O. Yamaguchi, "Recognizing faces of moving people by hierarchical image-set matching," presented at the CVPR, 2007.
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The CVPR
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Nishiyama, M.1
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29
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The kernel orthogonal mutual subspace method and its application to 3D object recognition
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Proc. ACCV
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Fukui, K.1
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Incremental learning of locally orthogonal subspaces for set-based object recognition
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Edinburgh, U.K., Sep.
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T.-K. Kim, J. Kittler, and R. Cipolla, "Incremental learning of locally orthogonal subspaces for set-based object recognition," in Proc. IAPR British Machine Vision Conf., Edinburgh, U.K., Sep. 2006, pp. 559-568.
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Proc. IAPR British Machine Vision Conf.
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Kim, T.-K.1
Kittler, J.2
Cipolla, R.3
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31
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84898473634
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Learning over sets using boosted manifold principle angles (BoMPA)
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Presented at, Oxford, U.K
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T.-K. Kim, O. Arandjelović, and R. Cipolla, "Learning over sets using boosted manifold principle angles (BoMPA)," presented at the BMVC, Oxford, U.K., 2005.
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(2005)
The BMVC
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Kim, T.-K.1
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Cipolla, R.3
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33
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37849052301
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Multi-scale local binary pattern histograms for face recognition
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C.-H. Chan, J. Kittler, and K. Messer, "Multi-scale local binary pattern histograms for face recognition," in Proc. ICB, 2007, pp. 809-818.
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Proc. ICB
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Chan, C.-H.1
Kittler, J.2
Messer, K.3
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