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	Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York, NY Sanjiv Kumar Add to Reading List Document Date: 2010-06-01 18:50:24 Open Document File Size: 822,95 KB Share Result on Facebook City Baltimore / / Company J. Ham D. D. / MIT Press / Johns Hopkins University Press / 3M / / / Facility OpenFST library / Large-Scale Manifold Learning Ameet Talwalkar Courant Institute / / IndustryTerm dot products / manifold learning algorithms / vision applications / distributed processing / depth-first search / dot product / web dataset / matrix-vector products / natural language processing / approximate nearest neighbor algorithms / spectral decomposition algorithms / pre-processing / / Organization Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York / MIT / Johns Hopkins University / National Academy of Sciences / Pattern Analysis and Machine Intelligence / / Person Sergey Ioffe / Michael Riley / J. Tenenbaum / V / Sanjiv Kumar / Henry Rowley / / Product Nystr / / ProgrammingLanguage L / K / / PublishedMedium IEEE Transactions on Pattern Analysis and Machine Intelligence / the theoretical Computer Science / / Technology kernel-based algorithms / natural language processing / Nystr¨om algorithms / Hebbian algorithm / approximate nearest neighbor algorithms / manifold learning algorithms / machine learning / Gesture Recognition / spectral decomposition algorithms / Monte Carlo algorithms / Isomap algorithm / / SocialTag Multivariate statistics Matrix theory Singular value decomposition Dimension reduction Nonlinear dimensionality reduction Isomap Semidefinite embedding Eigenvalues and eigenvectors Principal component analysis Algebra