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21	CCCG 2011, Toronto ON, August 10–12, 2011 Approximating Geodesic Distances on 2-Manifolds in R3 Christian Scheffer∗ Abstract Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2011-08-06 04:11:16 Computational geometry Mathematics Geodesic Differential geometry of surfaces Tangent space Voronoi diagram Isomap Differential geometry Differential topology Geometry
22	CCCG 2011, Toronto ON, August 10–12, 2011 Approximating Geodesic Distances on 2-Manifolds in R3 Christian Scheffer∗ Abstract Add to Reading List Source URL: 2011.cccg.ca Language: English - Date: 2011-08-06 04:11:16 Computational geometry Mathematics Geodesic Differential geometry of surfaces Tangent space Voronoi diagram Isomap Differential geometry Differential topology Geometry
23	Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis Lisha CHEN and Andreas BUJA In the past decade there has been a resurgence of interest in nonlinear dimension reduct Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2009-03-31 11:10:19 Nonlinear dimensionality reduction Multidimensional scaling Dimension reduction Principal component analysis Force-based algorithms Kernel principal component analysis Configuration Eigenvalues and eigenvectors K9 Statistics Multivariate statistics Isomap
24	1540 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 12, Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2007-12-03 08:49:18 Mathematics Multidimensional scaling Principal component analysis Isomap Cluster analysis Nonlinear dimensionality reduction K-means clustering Kernel principal component analysis Distance matrix Statistics Algebra Multivariate statistics
25	Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel Luca Rossi1 , Andrea Torsello1 , and Edwin R. Hancock2 1 2 Add to Reading List Source URL: www.cs.bham.ac.uk Language: English - Date: 2015-03-30 09:05:32 Multivariate statistics Computational statistics Dimension reduction Isomap Nonlinear dimensionality reduction Quantum mechanics Embedding Continuous-time quantum walk Random walk Statistics Mathematics Graph theory
26	Eurographics/ ACM SIGGRAPH Symposium on Computer AnimationM.-P. Cani, J. O’Brien (Editors) eFASE: Expressive Facial Animation Synthesis and Editing with Phoneme-Isomap Controls Zhigang Deng1 and Ulrich Neumann2 Add to Reading List Source URL: graphics.cs.uh.edu Language: English - Date: 2012-10-19 15:49:32 Computational linguistics Visual arts Computer facial animation User interface techniques Motion capture Facial motion capture Nonlinear dimensionality reduction Phoneme Isomap Computer animation Linguistics Statistics
27	Center for Robotics and Embedded Systems Technical Report Localization from Pairwise Distance Relationships using Kernel PCA Odest Chadwicke Jenkins 1 Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2003-05-03 13:03:59 Nonlinear dimensionality reduction Dimension reduction Isomap Kernel principal component analysis Multidimensional scaling Distance matrix Eigenvalues and eigenvectors Principal component analysis Statistics Multivariate statistics Algebra
28	Tangent-Corrected Embedding Ali Ghodsi, Jiayuan Huang University of Waterloo Abstract Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:35:42 Multivariate statistics Differential geometry Differential topology Abstract algebra Linear algebra Nonlinear dimensionality reduction Isomap Manifold Dimension reduction Algebra Statistics Mathematics
29	a Jenkins et al. – USC Center for Robotics and Embedded Systems Technical Report, 2004. Nonlinear Spherical Shells for Approximate Principal Curves Skeletonization Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2006-01-02 09:14:42 Computational statistics Array programming languages Data analysis Nonlinear dimensionality reduction Isomap MATLAB Principal component analysis Skeleton Statistics Multivariate statistics Dimension reduction
30	Spectral Dimensionality Reduction via Learning Eigenfunctions Yoshua Bengio Thanks to Pascal Vincent, Jean-François Paiement, Olivier Delalleau, Marie Ouimet, and Nicolas Le Roux. Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-20 10:53:48 Dimension reduction Computational statistics Dimension Nonlinear dimensionality reduction Isomap Spectral clustering Eigenvalues and eigenvectors Unsupervised learning Supervised learning Statistics Multivariate statistics Machine learning

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