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Nonlinear dimensionality reduction
Results: 210

#	Item
101	Journal of Machine Learning Research[removed]1243 Submitted 5/02; Published 3/03 Dimensionality Reduction via Sparse Support Vector Machines Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2004-08-31 14:18:40 Stepwise regression Linear regression Nonlinear regression Support vector machine Feature selection Statistics Regression analysis Econometrics
102	Learning Appearance Manifolds from Video Ali Rahimi MIT CS and AI Lab, Cambridge, MA[removed]removed] Add to Reading List Source URL: 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
103	Convex Modeling with Priors by Benjamin Recht B.S., University of Chicago[removed]M.S., Massachusetts Institute of Technology (2002) Add to Reading List Source URL: 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
104	Nonlinear Latent Variable Models for Video Sequences Ali Rahimi CSAIL Mass. Inst. Technology Add to Reading List Source URL: 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
105	A Bayesian approach for place recognition Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:38 Multivariate statistics Statistical models Estimation theory Expectation–maximization algorithm Nonlinear dimensionality reduction Mixture model Variational Bayesian methods Conjugate prior Hidden Markov model Statistics Bayesian statistics Statistical theory
106	Learning Kinematic Models for Articulated Objects ¨ Jurgen Sturm1 , Vijay Pradeep2 , Cyrill Stachniss1 , Christian Plagemann3 , Kurt Konolige2 , Wolfram Burgard1 1 Add to Reading List Source URL: www.willowgarage.com Language: English - Date: 2009-05-30 22:46:59 Computer vision Kinematics Nonlinear dimensionality reduction Kinematic chain Latent variable Regression analysis Match moving Dimension reduction Statistics Multivariate statistics Robot kinematics
107	Diffeomorphic Dimensionality Reduction Christian Walder and Bernhard Sch¨olkopf Max Planck Institute for Biological Cybernetics[removed]T¨ubingen, Germany [removed] Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2009-02-20 08:49:31 Functional analysis Dimension reduction Differential topology Dimension Nonlinear dimensionality reduction Diffeomorphism Principal component analysis Tangent space Distribution Statistics Multivariate statistics Mathematical analysis
108	[removed]Machine Learning, Spring 2011: Homework 5 Due: Tuesday April 19th at the begining of the class Instructions There are three questions on this assignment. Please submit your writeup as three separate sets of pages Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-12 22:17:44 Principal component analysis Neural network Dimension reduction Euclidean vector Nonlinear dimensionality reduction Artificial neural network Statistics Multivariate statistics Algebra
109	Sparse Concept Coding for Visual Analysis Deng Cai Hujun Bao Xiaofei He The State Key Lab of CAD&CG, College of Computer Science, Zhejiang University 388 Yu Hang Tang Rd., Hangzhou, Zhejiang, China[removed] Add to Reading List Source URL: www.cad.zju.edu.cn Language: English - Date: 2014-05-22 00:27:13 Multivariate statistics Matrix theory Data analysis Singular value decomposition Non-negative matrix factorization Principal component analysis Nonlinear dimensionality reduction Latent semantic analysis Matrix Algebra Mathematics Linear algebra
110	Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York, NY Sanjiv Kumar Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2008-04-07 17:00:23 Multivariate statistics Matrix theory Singular value decomposition Dimension reduction Nonlinear dimensionality reduction Isomap Semidefinite embedding Eigenvalues and eigenvectors Principal component analysis Algebra Mathematics Linear algebra

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