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by Junping Zhang, Stan Z. Li, Jue Wang
in Intelligent Multimedia Processing with Soft Computing
http://research.microsoft.com/~szli/papers/ZHP-MLA-Chapter.pdf
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Abstract:
A large number of data such as images and characters under varying intrinsic principal features are thought of as constituting highly nonlinear manifolds in the high-dimensional observation space. Visualization and exploration of high-dimensional vector data are therefore the focus of much current machine
Citations
|
1745
|
Eigenfaces for Recognition
– Turk, Pentland
- 1991
|
|
628
|
A Global Geometric Framework for Nonlinear Dimensionality
– Tanenbaum, Silva, et al.
- 2000
|
|
580
|
Nonlinear dimensionality reduction by locally linear embedding
– Roweis, Saul
- 2000
|
|
263
|
Using discriminant eigenfeatures for image retrieval
– Swets, Weng
- 1996
|
|
211
|
Laplacian eigenmaps for dimensionality reduction and data representation, Neural Computation 15
– Belkin, Niyogi
- 2003
|
|
203
|
GTM: The generative topographic mapping
– Bishop, Svensén, et al.
- 1998
|
|
60
|
Letter Recognition using Holland-style Adaptive Classifiers
– Frey, Slate
- 1991
|
|
51
|
Automatic classification of single facial images
– Lyons, Budynek, et al.
- 1999
|
|
23
|
A unified model for probabilistic principal surfaces
– Chang, Ghosh
- 2001
|
|
17
|
Face Recognition: A Convolutional Neural-Network Approach
– Lawrence, Giles, et al.
- 1997
|
|
8
|
Face recognition: The problem of compensating for changes in illumination direction
– Adini, Moses, et al.
- 1997
|
|
6
|
Nearest Manifold Approach for Face Recognition. The
– Zhang, Li, et al.
- 2004
|
|
5
|
Unsupervised learning of curved manifolds. In Nonlinear estimation and classification
– Silva, Tenenbaum
- 2003
|
|
4
|
A Bayesian Pairwise Classifier for Character Recognition
– Kumar, Ghosh, et al.
- 2000
|
|
2
|
2000),”Learning and design of principal curves”,IEEE
– Kégl, Krzyzak, et al.
|
|
1
|
Principla Curves,”Journal of the
– Hastie, Stuetzle
- 1988
|
|
1
|
Regularized Principal Manifolds,”In Computational Learning Theory
– Smola, Mika
- 1999
|
|
1
|
2002),“Charting a manifold,”Neural Information Proceeding Systems: Natural and Synthetic
– Brand, MERL
|
|
1
|
Locally Linear Embedding for Classification”, technical reports
– Ridder, Duin
|
|
1
|
Recognition Using Hidden Markov Models”,PhD
– Samaria
- 1994
|
|
1
|
Characterizing virtual Eigensignatures for General Purpose Face Recognition”, Daniel B Graham and Nigel M Allinson
– Wechsler, Phillips, et al.
- 1998
|
