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Nonlinear dimensionality reduction
Results: 210

#	Item
11	From Web to Map: Exploring the World of Music Olga Goussevskaia ETH Zurich, Switzerland Michael Kuhn Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:35 Topological graph theory Graph drawing Dimension Dimension reduction Nonlinear dimensionality reduction Graph embedding Force-directed graph drawing
12	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
13	Sliding Tolerance 3-D Point Reduction for Globograms Steven Prashker Cartographic Research Unit Department of Geography Carleton University Ottawa, Ontario, Canada K1S 5B6 Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-30 00:55:15 Reduction Multivariate statistics Map projection Plane Coordinate system Rasterisation Nonlinear dimensionality reduction K-nearest neighbors algorithm
14	DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections Su Yan∗ Sofien Bouaziz Dongwon Lee IBM Almaden Research Center Ecole Polytechnique F´ed´erale de Lausanne Pennsylvania State Univer Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:34 Multivariate statistics Dimension reduction Geostatistics Functional analysis Linear algebra Dimensionality reduction Principal component analysis Nonlinear dimensionality reduction K-nearest neighbors algorithm Cluster analysis Kernel method Linear discriminant analysis
15	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-06-10 07:44:40 Dimension reduction Machine learning Statistical classification Multivariate statistics Naive Bayes classifier Pattern recognition Random projection Nonlinear dimensionality reduction Principal component analysis Matrix JohnsonLindenstrauss lemma Compressed sensing
16	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
17	Unsupervised Metric Learning by Self-Smoothing Operator Jiayan Jiang UCLA Bo Wang University of Toronto Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2011-09-30 15:26:15 Multivariate statistics Geostatistics Dimension reduction Machine learning Dimension Nonlinear dimensionality reduction Diffusion Similarity measure Image segmentation Dimensionality reduction Kernel method K-means clustering
18	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
19	CS168: The Modern Algorithmic Toolbox Lecture #4: Dimensionality Reduction Tim Roughgarden & Gregory Valiant April 8, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Machine learning Random projection MinHash Nearest neighbor search K-nearest neighbors algorithm Dimensionality reduction Normal distribution Jaccard index Curse of dimensionality Standard deviation Nonlinear dimensionality reduction
20	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

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