J. A. Lee and M. Verleysen. Curvilinear distance analysis versus isomap. Neurocomputing, 2004. Accepted. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Local Linear Projection (LLP) - Huo, Chen (Correct)
....the length of the shortest path that resides on the embedded manifold. In implementations, this idea is realized by considering the k nearest neighbors. Later on, in order to achieve better numerical performance, researchers have proposed some variations, e.g. Curvilinear Distance Analysis (CDA) [4]. In LLE, each data point is represented as a convex combination of its k nearest neighbors; the data is then mapped into a low D space, at the same time, the convex combinations (which is called embedding) is preserved to the best possibility. In [4, 11, 8] good examples are shown to illustrate ....
....e.g. Curvilinear Distance Analysis (CDA) 4] In LLE, each data point is represented as a convex combination of its k nearest neighbors; the data is then mapped into a low D space, at the same time, the convex combinations (which is called embedding) is preserved to the best possibility. In [4, 11, 8], good examples are shown to illustrate these ideas. These examples are Swiss rolls, open boxes, and cylinders. We found them very instructive. 1 0 1 0.5 0 0.5 1 0.5 0 0.5 X A Horizontal View 1 0 1 0.5 0 0.5 1 0.5 0 0.5 X A Bird Eyes View Fig. 1. Hurricane: A 3 D ....
Lee, J.A., Lendasse, A. and Verleysen, M. (2000) Curvilinear distance analysis versus isomap, submitted to ESANN'02, Bruges.
Non-linear ICA by Using Isometric - Dimensionality Reduction John Self-citation (Verleysen) (Correct)
No context found.
J. A. Lee and M. Verleysen. Curvilinear distance analysis versus isomap. Neurocomputing, 2004. Accepted.
Non-linear ICA by Using Isometric - Dimensionality Reduction John Self-citation (Verleysen) (Correct)
No context found.
J. A. Lee, A. Lendasse, and M. Verleysen. Curvilinear Distances Analysis versus Isomap. In M. Verleysen, editor, Proceedings of ESANN'2002, pages 13--20. D-Facto public., Bruges (Belgium), 2002.
How to Project `Circular' Manifolds Using Geodesic Distances? - Lee, Verleysen (2004) Self-citation (Verleysen) (Correct)
No context found.
J. A. Lee, A. Lendasse, and M. Verleysen. Curvilinear Distances Analysis versus Isomap. In M. Verleysen, editor, Proceedings of ESANN'2002.
Locally Linear Embedding versus Isotop - Lee, Archambeau, Verleysen (2003) Self-citation (Verleysen) (Correct)
No context found.
J. A. Lee, A. Lendasse, and M. Verleysen. Curvilinear Distance Analysis versus Isomap. In M. Verleysen, editor, Proceedings of ESANN'2002.
On the Effects of Dimensionality on Data Analysis.. - Verleysen.. (2003) Self-citation (Verleysen) (Correct)
No context found.
Lee, J. A., Lendasse, A., Verleysen, M: Curvilinear Distance Analysis versus Isomap. In: Proceedings of ESANN'2002, 10th European Symposium on Artificial Neural Networks, dside public, Bruges -- Belgium, (2002) 185-192
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC