Result 1 to 20 of 27 total
A sparse-grid-based out-of-sample extension for dimensionality reduction and clustering with Laplacian eigenmaps. (English)
Wang, Dianhui (ed.) et al., AI 2011: Advances in artificial intelligence. 24th Australasian joint conference, Perth, Australia, December 5‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25831-2/pbk). Lecture Notes in Computer Science 7106. Lecture Notes in Artificial Intelligence, 112-121 (2011).
1
A RANSAC-based ISOMAP for filiform manifolds in nonlinear dynamical systems ‒ an application to chaos in a dripping faucet. (English)
Honkela, Timo (ed.) et al., Artificial neural networks and machine learning ‒ ICANN 2011. 21st international conference on artificial neural networks, Espoo, Finland, June 14‒17, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21737-1/pbk). Lecture Notes in Computer Science 6792, 277-284 (2011).
2
A manifold unfolding method based on boundary constraints. (Chinese)
Acta Autom. Sin. 36, No. 4, 488-498 (2010).
3
A unified semi-supervised dimensionality reduction framework for manifold learning. (English)
Neurocomputing 73, No. 10-12, 1631-1640 (2010).
4
Optimal approximation of elliptic problems by linear and nonlinear mappings. IV: Errors in $L_{2}$ and other norms. (English)
J. Complexity 26, No. 1, 102-124 (2010).
5
Dimension reduction: a guided tour. (English)
Found. Trends Mach. Learn. 2, No. 4, 275-365 (2009).
6
Localized versus locality preserving representation methods in face recognition tasks. (English)
Teodorescu, Horio-Nicolai (ed.) et al., Intelligent systems and technologies. Methods and applications. Selected papers based on the presentations at the 5th European conference on intelligent systems and technologies ECIT 2008, 10‒ 12 July 2008, Iaşi, Romania. Berlin: Springer (ISBN 978-3-642-01884-8/hbk; 978-3-642-01885-5/ebook). Studies in Computational Intelligence 217, 81-103 (2009).
7
Towards a theoretical foundation for Laplacian-based manifold methods. (English)
J. Comput. Syst. Sci. 74, No. 8, 1289-1308 (2008).
8
Output tracking with discrete-time integral sliding mode control. (English)
Bartolini, Giorgio (ed.) et al., Modern sliding mode control theory. New perspectives and applications. Berlin: Springer (ISBN 978-3-540-79015-0/pbk). Lecture Notes in Control and Information Sciences 375, 247-268 (2008).
9
Optimal approximation of elliptic problems by linear and nonlinear mappings. III: Frames. (English)
J. Complexity 23, No. 4-6, 614-648 (2007).
10
A trust-region strategy for manifold-mapping optimization. (English)
J. Comput. Phys. 224, No. 1, 464-475 (2007).
11
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. (English)
J. Mach. Learn. Res. 7, 2399-2434 (2006).
12
Unsupervised learning of image manifolds by semidefinite programming. (English)
Int. J. Comput. Vis. 70, No. 1, 77-90 (2006).
13
Optimal approximation of elliptic problems by linear and nonlinear mappings. I. (English)
J. Complexity 22, No. 1, 29-49 (2006).
14
Visual object recognition using probabilistic kernel subspace similarity. (English)
Pattern Recognition 38, No. 7, 997-1008 (2005).
15
Linear low-rank approximation and nonlinear dimensionality reduction. (English)
Sci. China, Ser. A 47, No. 6, 908-920 (2004).
16
A low complexity Lie group method on the Stiefel manifold. (English)
BIT 43, No.1, 107-122 (2003).
17
Adaptive numerical methods for PDEs. (English)
ESAIM, Proc. 11, 97-116, electronic only (2002).
18
A class of intrinsic schemes for orthogonal integration. (English)
SIAM J. Numer. Anal. 40, No. 6, 2069-2084 (2002).
19
A Grassmann‒Rayleigh quotient iteration for computing invariant subspaces. (English)
SIAM Rev. 44, No.1, 57-73 (2002).
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Result 1 to 20 of 27 total
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