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Dimensionality reduction
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#	Item
41	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
42	CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden & Gregory Valiant∗ April 18, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:44 Multivariate statistics Dimension reduction Abstract algebra Linear algebra Analytic geometry Principal component analysis Dimensionality reduction Eigenvalues and eigenvectors Linear regression Euclidean vector Degrees of freedom Eigenface
43	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
44	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
45	Effective Multi-Modal Retrieval based on Stacked Auto-Encoders Wei Wang† , Beng Chin Ooi† , Xiaoyan Yang‡ , Dongxiang Zhang† , Yueting Zhuang§ †School of Computing, National University of Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-02-05 09:31:17 Machine learning Artificial neural networks Multivariate statistics Deep learning Feature learning Autoencoder KeY K-nearest neighbors algorithm Dimensionality reduction
46	Core Machine Learning Techniques for Information Retrieval Luo Si Rong Jin Add to Reading List Source URL: www.sigir2011.org Language: English - Date: 2011-07-24 21:02:12 Machine learning Supervised learning Pattern recognition Learning to rank Semi-supervised learning Dimensionality reduction Deep learning Feature learning
47	Cross-modal Sound Mapping Using Deep Learning Ohad Fried Rebecca Fiebrink Princeton University Add to Reading List Source URL: www.ohadf.com Language: English - Date: 2016-06-06 02:20:12 Machine learning Artificial neural networks Computational neuroscience Cybernetics Computational statistics Deep learning Feature learning Autoencoder Deep belief network Dimensionality reduction Backpropagation Supervised learning
48	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
49	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
50	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

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