Variable Bandwidth Diffusion Kernels
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[1] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[2] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[3] D. W. Scott,et al. Variable Kernel Density Estimation , 1992 .
[4] D. W. Scott,et al. On Locally Adaptive Density Estimation , 1996 .
[5] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[6] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[7] Matthias Hein,et al. Intrinsic dimensionality estimation of submanifolds in Rd , 2005, ICML.
[8] Ulrike von Luxburg,et al. From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians , 2005, COLT.
[9] B. Nadler,et al. Diffusion maps, spectral clustering and reaction coordinates of dynamical systems , 2005, math/0503445.
[10] Mikhail Belkin,et al. Convergence of Laplacian Eigenmaps , 2006, NIPS.
[11] Stéphane Lafon,et al. Diffusion maps , 2006 .
[12] A. Singer. Spectral independent component analysis , 2006 .
[13] A. Singer. From graph to manifold Laplacian: The convergence rate , 2006 .
[14] R. Coifman,et al. Non-linear independent component analysis with diffusion maps , 2008 .
[15] Ronald R. Coifman,et al. Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems , 2008, Multiscale Model. Simul..
[16] Mikhail Belkin,et al. Consistency of spectral clustering , 2008, 0804.0678.
[17] Ronald R. Coifman,et al. Graph Laplacian Tomography From Unknown Random Projections , 2008, IEEE Transactions on Image Processing.
[18] Amit Singer,et al. Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps , 2009, Proceedings of the National Academy of Sciences.
[19] Mauro Maggioni,et al. Multiscale Estimation of Intrinsic Dimensionality of Data Sets , 2009, AAAI Fall Symposium: Manifold Learning and Its Applications.
[20] Ling Huang,et al. An Analysis of the Convergence of Graph Laplacians , 2010, ICML.
[21] Andrew J. Majda,et al. Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. , 2011, CIDU 2011.
[22] R. Coifman,et al. Anisotropic diffusion on sub-manifolds with application to Earth structure classification , 2012 .
[23] A. Majda,et al. Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variability , 2012, Proceedings of the National Academy of Sciences.
[24] Timothy D. Sauer,et al. Time-Scale Separation from Diffusion-Mapped Delay Coordinates , 2013, SIAM J. Appl. Dyn. Syst..
[25] T. Sauer,et al. Local Kernels and the Geometric Structure of Data , 2014, 1407.1426.
[26] John Harlim,et al. Nonparametric Uncertainty Quantification for Stochastic Gradient Flows , 2014, SIAM/ASA J. Uncertain. Quantification.