暂无分享,去创建一个
Pierre Vandergheynst | Nathanael Perraudin | David K. Hammond | Vassilis Kalofolias | David I. Shuman | Johan Paratte | P. Vandergheynst | D. Shuman | Nathanael Perraudin | Johan Paratte | Vassilis Kalofolias | D. Hammond
[1] Pierre Vandergheynst,et al. A Multiscale Pyramid Transform for Graph Signals , 2013, IEEE Transactions on Signal Processing.
[2] M. Randic,et al. Resistance distance , 1993 .
[3] M. Rudelson. Random Vectors in the Isotropic Position , 1996, math/9608208.
[4] Fan Zhang,et al. Graph spectral image smoothing using the heat kernel , 2008, Pattern Recognit..
[5] B. Schölkopf,et al. A Regularization Framework for Learning from Graph Data , 2004, ICML 2004.
[6] Fan Chung,et al. Spectral Graph Theory , 1996 .
[7] Florian Dörfler,et al. Kron Reduction of Graphs With Applications to Electrical Networks , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.
[8] Pierre Vandergheynst,et al. Vertex-Frequency Analysis on Graphs , 2013, ArXiv.
[9] Pierre Vandergheynst,et al. Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames , 2013, IEEE Transactions on Signal Processing.
[10] Gilbert Strang,et al. The Discrete Cosine Transform , 1999, SIAM Rev..
[11] Isaac Z. Pesenson,et al. Variational Splines and Paley–Wiener Spaces on Combinatorial Graphs , 2009, ArXiv.
[12] Mark Rudelson,et al. Sampling from large matrices: An approach through geometric functional analysis , 2005, JACM.
[13] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[14] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[15] Bernhard Schölkopf,et al. Learning from labeled and unlabeled data on a directed graph , 2005, ICML.
[16] Pierre Vandergheynst,et al. Wavelets on Graphs via Spectral Graph Theory , 2009, ArXiv.
[17] Pierre Vandergheynst,et al. UNLocBoX A matlab convex optimization toolbox using proximal splitting methods , 2014, ArXiv.
[18] P. Vandergheynst,et al. Accelerated filtering on graphs using Lanczos method , 2015, 1509.04537.
[19] Marc Levoy,et al. Zippered polygon meshes from range images , 1994, SIGGRAPH.
[20] David G. Lowe,et al. Scalable Nearest Neighbor Algorithms for High Dimensional Data , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[22] Pierre Vandergheynst,et al. A windowed graph Fourier transform , 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).
[23] Sunil K. Narang,et al. Graph-wavelet filterbanks for edge-aware image processing , 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).
[24] Pierre Vandergheynst,et al. A Framework for Multiscale Transforms on Graphs , 2013, arXiv.org.
[25] Nikhil Srivastava,et al. Graph sparsification by effective resistances , 2008, SIAM J. Comput..