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#	Item
1	On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap Alexander Paprotny Inst. f¨ ur Mathematik, TU Berlin Add to Reading List Source URL: garcke.ins.uni-bonn.de Language: English - Date: 2012-02-02 05:27:40
2	The Isomap algorithm in distance geometry Leo Liberti and Claudia D’Ambrosio CNRS LIX Ecole Polytechnique, 91128 Palaiseau, France {liberti,dambrosio}@lix.polytechnique.fr Abstract Add to Reading List Source URL: www.lix.polytechnique.fr Language: English - Date: 2017-07-05 00:50:10
3	Community-Aware Mobile Networking Michael Kuhn Computer Engineering and Networks Laboratory ETH Zurich 8092 Zurich, Switzerland Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:47 Mathematics Graph theory Network theory Discrete mathematics Edsger W. Dijkstra Graph Shortest path problem Topological graph theory Isomap
4	Unsupervised Image Embedding Using Nonparametric Statistics Guobiao Mei University of California, Riverside Abstract Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:19 Mathematics Statistics Dimension reduction Topology Multivariate statistics Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Isomap Semidefinite embedding Embedding
5	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding
6	Tilburg centre for Creative Computing Tilburg University http://www.uvt.nl/ticc P.O. BoxLE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Machine learning Computational statistics Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Principal component analysis Kernel principal component analysis Semidefinite embedding Kernel method
7	Unsupervised Dimensionality Estimation and Manifold Learning in high-dimensional Spaces by Tensor Voting Philippos Mordohai and G´erard Medioni University of Southern California email: {mordohai,medioni}@iris.usc.edu Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2007-08-16 15:43:24 Multivariate statistics Dimension reduction Riemannian geometry Machine learning Computational statistics Tensor Nonlinear dimensionality reduction Dimensionality reduction Isomap LaplaceBeltrami operator Manifold Metric tensor
8	Journal of Machine Learning Research3163 Submitted 6/13; Revised 8/13; PublishedDivvy: Fast and Intuitive Exploratory Data Analysis Joshua M. Lewis Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Machine learning Dimension reduction Free statistical software Cluster analysis Data mining Nonlinear dimensionality reduction Isomap Dimensionality reduction Orange T-distributed stochastic neighbor embedding Ayasdi
9	Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun The Courant Institute of Mathematical Sciences New York University, 719 Broadway, New York, NY 1003, USA. http://www.cs.nyu Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2006-02-28 22:05:16 Multivariate statistics Machine learning Dimension reduction Dimension Nonlinear dimensionality reduction Computational statistics Dimensionality reduction Manifold K-nearest neighbors algorithm Isomap Multidimensional scaling Embedding
10	Journal of Machine Learning Research450 Submitted 11/07; Revised 11/09; Published 1/10 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2010-02-04 17:27:11 Multivariate statistics Dimension reduction Computational statistics Machine learning Isomap Dimensionality reduction Nonlinear dimensionality reduction Semidefinite embedding Principal component analysis Tensor Manifold Multidimensional scaling