-
1
-
-
8344253906
-
Unsupervised learning using Locally Linear Embedding: Experiments with face pose analysis
-
A. Hadid, O. Kouropteva, M. Pietikainen, Unsupervised learning using Locally Linear Embedding: experiments with face pose analysis, in: Proc. of the 16th International Conference on Pattern Recognition, 2002, pp. 111-114.
-
(2002)
Proc. of the 16th International Conference on Pattern Recognition
, pp. 111-114
-
-
Hadid, A.1
Kouropteva, O.2
Pietikainen, M.3
-
2
-
-
33947233031
-
Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
-
MIT Press, Boca Raton, FL
-
B. YoShua, Jean-François Paiement, P. Vincent, Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering, in: Advances in Neural Information Processing Systems, vol. 16, MIT Press, Boca Raton, FL, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
YoShua, B.1
François Paiement, J.2
Vincent, P.3
-
3
-
-
19944404611
-
Locally linear embedding for classification
-
Technical Report PH-2002-01, Pattern Recognition Group, Dept. of Imaging Science & Technology, Delft University of Technology, Delft, The Netherlands
-
D. de Ridder, R.P.W. Duin, Locally linear embedding for classification, Technical Report PH-2002-01, Pattern Recognition Group, Dept. of Imaging Science & Technology, Delft University of Technology, Delft, The Netherlands, 2002.
-
(2002)
-
-
de Ridder, D.1
Duin, R.P.W.2
-
4
-
-
25844493299
-
A facial expression recognition system based on supervised locally linear embedding
-
Liang D., Yang J., Zheng Z.L., and Chang Y.C. A facial expression recognition system based on supervised locally linear embedding. Pattern Recognition Letters 26 (2005) 2374-2389
-
(2005)
Pattern Recognition Letters
, vol.26
, pp. 2374-2389
-
-
Liang, D.1
Yang, J.2
Zheng, Z.L.3
Chang, Y.C.4
-
6
-
-
24644496298
-
Local discriminant embedding and its variants
-
CVPR
-
H. Chen, H.-W. Chang, T.-L. Liu, Local discriminant embedding and its variants, in: Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, 2005, pp. 846-853.
-
(2005)
Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 846-853
-
-
Chen, H.1
Chang, H.-W.2
Liu, T.-L.3
-
7
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum J.B., et al. A global geometric framework for nonlinear dimensionality reduction. Science 290 5 (2000) 2319-2323
-
(2000)
Science
, vol.290
, Issue.5
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
-
8
-
-
14544297033
-
KPCA Plus LDA: a complete Kernel Fisher Discriminant framework for feature extraction and recognition
-
Yang J., Frangi A.F., Yang J.-y., Zhang D., and Jin Z. KPCA Plus LDA: a complete Kernel Fisher Discriminant framework for feature extraction and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2 (2005) 230-244
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.2
, pp. 230-244
-
-
Yang, J.1
Frangi, A.F.2
Yang, J.-y.3
Zhang, D.4
Jin, Z.5
-
9
-
-
26944469151
-
Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for face recognition
-
J.P. Zhang, H.X. Shen, Z.H. Zhou, Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for face recognition, in: Proc. of the 5th Chinese Conference on Biometric Recognition, 2004, pp. 296-304.
-
(2004)
Proc. of the 5th Chinese Conference on Biometric Recognition
, pp. 296-304
-
-
Zhang, J.P.1
Shen, H.X.2
Zhou, Z.H.3
-
10
-
-
0036477056
-
Face recognition using kernel principal component analysis
-
Kim K.I., Jung K., and Kim H.J. Face recognition using kernel principal component analysis. IEEE Signal Processing Letters 9 2 (2002) 40-42
-
(2002)
IEEE Signal Processing Letters
, vol.9
, Issue.2
, pp. 40-42
-
-
Kim, K.I.1
Jung, K.2
Kim, H.J.3
-
11
-
-
70350105982
-
-
L. Saul, S.T. Roweis, An introduction to locally linear embedding, Report at AT&T labs Research, 2000b. Available from: .
-
L. Saul, S.T. Roweis, An introduction to locally linear embedding, Report at AT&T labs Research, 2000b. Available from: .
-
-
-
-
12
-
-
2342517502
-
Think globally, fit locally: unsupervised learning of low dimensional manifolds
-
Saul L., and Roweis S.T. Think globally, fit locally: unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research 4 (2003) 119-155
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 119-155
-
-
Saul, L.1
Roweis, S.T.2
-
14
-
-
0028387052
-
Human face recognition and the face image set's topology
-
M. Bichsel, A. Pentland, Human face recognition and the face image set's topology, in: CVGIP: Image Understanding 59 (2) (1994) 254-261.
-
(1994)
CVGIP: Image Understanding
, vol.59
, Issue.2
, pp. 254-261
-
-
Bichsel, M.1
Pentland, A.2
-
22
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis S.T., and Saul L. Nonlinear dimensionality reduction by locally linear embedding. Science 290 5500 (2000) 2323-2326
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.2
-
23
-
-
24644478682
-
Graph embedding: A general framework for dimensionality reduction
-
CVPR
-
S. Yan, D. Xu, B. Zhang, H.J. Zhang, Graph embedding: a general framework for dimensionality reduction, in: Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, 2005, pp. 830-837.
-
(2005)
Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 830-837
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.J.4
-
24
-
-
84931827276
-
Nonlinear mapping from multi-view face patterns to a gaussian distribution in a low dimensional space
-
Stan Z. Li, Rong Xiao, ZeYu Li, HongJiang Zhang, Nonlinear mapping from multi-view face patterns to a gaussian distribution in a low dimensional space, in: Proc. of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001, pp. 47-54.
-
(2001)
Proc. of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
, pp. 47-54
-
-
Li, S.Z.1
Xiao, R.2
Li, Z.3
Zhang, H.4
-
25
-
-
26944442729
-
Face recognition by Kernel Independent Component Analysis
-
T Martiriggiano, M. Leo, T. D'Orazio, A. Distante, Face recognition by Kernel Independent Component Analysis, in: Proc. of the 18th International Conference on Innovations in Applied Artificial Intelligence, 2005, pp. 55-58.
-
(2005)
Proc. of the 18th International Conference on Innovations in Applied Artificial Intelligence
, pp. 55-58
-
-
Martiriggiano, T.1
Leo, M.2
D'Orazio, T.3
Distante, A.4
-
26
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
Sim T., Baker S., and Bsat M. The CMU pose, illumination, and expression database. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 12 (2003) 1615-1618
-
(2003)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.25
, Issue.12
, pp. 1615-1618
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
27
-
-
33745881038
-
Neighborhood preserving embedding
-
X. He, Deng Cai, S. Yan, H.J. Zhang, Neighborhood preserving embedding, in: Proc. of the 10th IEEE International Conference on Computer Vision, 2005a, pp. 1208-1213.
-
(2005)
Proc. of the 10th IEEE International Conference on Computer Vision
, pp. 1208-1213
-
-
He, X.1
Cai, D.2
Yan, S.3
Zhang, H.J.4
-
28
-
-
15044358511
-
Face recognition using Laplacianfaces
-
He X., Yan S., Hu Y., Niyogi P., and Zhang H. Face recognition using Laplacianfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 3 (2005) 328-340
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.3
, pp. 328-340
-
-
He, X.1
Yan, S.2
Hu, Y.3
Niyogi, P.4
Zhang, H.5
|