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Nonlinear dimensionality reduction
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51	METHODS ARTICLE published: 20 August 2014 doi: fninsDeep learning for neuroimaging: a validation study Sergey M. Plis 1, Devon R. Hjelm 2 , Ruslan Salakhutdinov 3 , Elena A. Allen 1,4 , Henry J. Bock Add to Reading List Source URL: www.cs.toronto.edu Language: English* - Date: 2014-09-17 22:48:19 Magnetic resonance imaging Boltzmann machine Functional magnetic resonance imaging Magnetoencephalography Nonlinear dimensionality reduction Independent component analysis Statistics Multivariate statistics Neuroimaging
52	Nonlinear Latent Variable Models for Video Sequences Ali Rahimi CSAIL Mass. Inst. Technology Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Multivariate statistics Linear algebra Signal processing Abstract algebra Functions and mappings Nonlinear dimensionality reduction Kalman filter Expectation–maximization algorithm Kernel principal component analysis Statistics Mathematics Algebra
53	Learning Appearance Manifolds from Video Ali Rahimi MIT CS and AI Lab, Cambridge, MA 02139 Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Dimension reduction Computational statistics Dimension Nonlinear dimensionality reduction Pattern recognition Supervised learning Manifold Isomap Markov chain Statistics Machine learning Multivariate statistics
54	Microsoft Word - f70-zhang.doc Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2005-08-03 21:23:02 Statistical theory Fisher kernel Information retrieval Support vector machine Maximum likelihood Fisher information Kernel methods Closed and exact differential forms Nonlinear dimensionality reduction Statistics Statistical classification Estimation theory
55	Convex Modeling with Priors by Benjamin Recht B.S., University of ChicagoM.S., Massachusetts Institute of Technology (2002) Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:07 Mathematical optimization Regression analysis Image processing Nonlinear dimensionality reduction Supervised learning Neil Gershenfeld Segmentation Cluster analysis Spectral clustering Statistics Machine learning Multivariate statistics
56	Neural Process Lett DOIs11063x Supervised Distance Preserving Projections Zhanxing Zhu · Timo Similä · Francesco Corona Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-09-03 12:46:49 Multivariate statistics Linear algebra Dimension reduction Abstract algebra Operator theory Projection Principal component analysis Nonlinear dimensionality reduction Linear discriminant analysis Statistics Algebra Mathematics
57	Kohonen’s SOM with Cache S.V.N. Vishwanathan, M. Narasimha Murty 1 Department of Computer Science and Automation Indian Institute of Science Bangalore Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2008-09-11 13:00:39 Artificial intelligence Search algorithms Dimension reduction Self-organizing map K-nearest neighbor algorithm Nearest neighbor search Growing self-organizing map Nonlinear dimensionality reduction Machine learning Neural networks Information science
58	PDF Document Add to Reading List Source URL: www.mth.kcl.ac.uk Language: English - Date: 2014-10-16 12:30:46 Econometrics Estimation theory Statistical models Nonlinear dimensionality reduction Proportional hazards models Principal component analysis Linear regression Dimensional analysis Normal distribution Statistics Multivariate statistics Regression analysis
59	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
60	Metrics for Probabilistic Geometries Alessandra Tosi Dept. of Computer Science Universitat Polit`ecnica de Catalunya Add to Reading List Source URL: www2.compute.dtu.dk Language: English - Date: 2014-09-14 12:13:52 Riemannian geometry Mathematical analysis Dimension Dimension reduction Nonlinear dimensionality reduction Geodesic Riemannian manifold Generative topographic map Metric tensor Differential geometry Geometry Statistics

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