Distributed Adaptive Learning of Graph Signals
暂无分享,去创建一个
Sergio Barbarossa | Paolo Banelli | Stefania Sardellitti | Paolo Di Lorenzo | S. Barbarossa | S. Sardellitti | P. Lorenzo | P. Banelli
[1] José M. F. Moura,et al. Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure , 2014, IEEE Signal Processing Magazine.
[2] Jelena Kovacevic,et al. Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies , 2015, IEEE Transactions on Signal and Information Processing over Networks.
[3] Ali H. Sayed,et al. Diffusion LMS Strategies for Distributed Estimation , 2010, IEEE Transactions on Signal Processing.
[4] Cássio Guimarães Lopes,et al. Towards spatially universal adaptive diffusion networks , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[5] Ali H. Sayed,et al. Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks , 2011, IEEE Transactions on Signal Processing.
[6] Sergios Theodoridis,et al. Adaptive Robust Distributed Learning in Diffusion Sensor Networks , 2011, IEEE Transactions on Signal Processing.
[7] José M. F. Moura,et al. Signal Recovery on Graphs: Variation Minimization , 2014, IEEE Transactions on Signal Processing.
[8] Ali H. Sayed,et al. Sparse Distributed Learning Based on Diffusion Adaptation , 2012, IEEE Transactions on Signal Processing.
[9] José M. F. Moura,et al. Discrete Signal Processing on Graphs , 2012, IEEE Transactions on Signal Processing.
[10] Sergio Barbarossa,et al. Adaptive Least Mean Squares Estimation of Graph Signals , 2016, IEEE Transactions on Signal and Information Processing over Networks.
[11] Haris Vikalo,et al. Greedy sensor selection: Leveraging submodularity , 2010, 49th IEEE Conference on Decision and Control (CDC).
[12] Ali Sayed,et al. Adaptation, Learning, and Optimization over Networks , 2014, Found. Trends Mach. Learn..
[13] Stephen P. Boyd,et al. Distributed average consensus with least-mean-square deviation , 2007, J. Parallel Distributed Comput..
[14] Jie Chen,et al. Multitask Diffusion Adaptation Over Networks , 2013, IEEE Transactions on Signal Processing.
[15] B. Schölkopf,et al. A Regularization Framework for Learning from Graph Data , 2004, ICML 2004.
[16] Sergio Barbarossa,et al. Signals on Graphs: Uncertainty Principle and Sampling , 2015, IEEE Transactions on Signal Processing.
[17] Sunil K. Narang,et al. Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs , 2012, IEEE Transactions on Signal Processing.
[18] I. Pesenson. Sampling in paley-wiener spaces on combinatorial graphs , 2008, 1111.5896.
[19] Markus Püschel,et al. Algebraic Signal Processing Theory: Foundation and 1-D Time , 2008, IEEE Transactions on Signal Processing.
[20] Santiago Segarra,et al. Sampling of Graph Signals With Successive Local Aggregations , 2015, IEEE Transactions on Signal Processing.
[21] Sergio Barbarossa,et al. On the degrees of freedom of signals on graphs , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).
[22] José M. F. Moura,et al. Algebraic Signal Processing Theory: 1-D Space , 2008, IEEE Transactions on Signal Processing.
[23] Jelena Kovacevic,et al. Distributed algorithm for graph signal inpainting , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[25] Ali H. Sayed,et al. Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation , 2013, IEEE Signal Processing Letters.
[26] José M. F. Moura,et al. Signal denoising on graphs via graph filtering , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[27] Santiago Segarra,et al. Reconstruction of Graph Signals Through Percolation from Seeding Nodes , 2015, IEEE Transactions on Signal Processing.
[28] Antonio Ortega,et al. Active semi-supervised learning using sampling theory for graph signals , 2014, KDD.
[29] Jie Chen,et al. Diffusion LMS Over Multitask Networks , 2014, IEEE Transactions on Signal Processing.
[30] Sunil K. Narang,et al. Perfect Reconstruction Two-Channel Wavelet Filter Banks for Graph Structured Data , 2011, IEEE Transactions on Signal Processing.
[31] José M. F. Moura,et al. Discrete Signal Processing on Graphs: Frequency Analysis , 2013, IEEE Transactions on Signal Processing.
[32] J. Silvester. Determinants of block matrices , 2000, The Mathematical Gazette.
[33] BoydStephen,et al. Distributed average consensus with least-mean-square deviation , 2007 .
[34] Sergio Barbarossa,et al. Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs , 2013, IEEE Transactions on Signal Processing.
[35] Fan Chung,et al. Spectral Graph Theory , 1996 .
[36] Sunil K. Narang,et al. Localized iterative methods for interpolation in graph structured data , 2013, 2013 IEEE Global Conference on Signal and Information Processing.
[37] Yuantao Gu,et al. A Distributed Tracking Algorithm for Reconstruction of Graph Signals , 2015, IEEE Journal of Selected Topics in Signal Processing.
[38] José M. F. Moura,et al. Classification via regularization on graphs , 2013, 2013 IEEE Global Conference on Signal and Information Processing.
[39] S. Haykin. Adaptive Filters , 2007 .
[40] José M. F. Moura,et al. Signal inpainting on graphs via total variation minimization , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[41] Sundeep Prabhakar Chepuri,et al. Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models , 2013, IEEE Transactions on Signal Processing.
[42] Paolo Di Lorenzo,et al. Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields , 2014, IEEE Transactions on Signal Processing.
[43] Isao Yamada,et al. Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis , 2010, IEEE Transactions on Signal Processing.
[44] Pascal Frossard,et al. Distributed signal processing with graph spectral dictionaries , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[45] Marc Moonen,et al. Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology , 2013, IEEE Signal Processing Magazine.
[46] Michael G. Rabbat,et al. Approximating signals supported on graphs , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[47] Pengfei Liu,et al. Local-Set-Based Graph Signal Reconstruction , 2014, IEEE Transactions on Signal Processing.
[48] Jie Chen,et al. Multitask Diffusion Adaptation Over Networks With Common Latent Representations , 2017, IEEE Journal of Selected Topics in Signal Processing.
[49] Pascal Frossard,et al. Parametric dictionary learning for graph signals , 2013, 2013 IEEE Global Conference on Signal and Information Processing.
[50] Ali H. Sayed,et al. Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis , 2008, IEEE Transactions on Signal Processing.
[51] 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.
[52] David Kempe,et al. A decentralized algorithm for spectral analysis , 2004, STOC '04.
[53] Jelena Kovacevic,et al. Discrete Signal Processing on Graphs: Sampling Theory , 2015, IEEE Transactions on Signal Processing.
[54] Ali H. Sayed,et al. Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks , 2013, IEEE Transactions on Signal Processing.
[55] Sunil K. Narang,et al. Signal processing techniques for interpolation in graph structured data , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[56] Sundeep Prabhakar Chepuri,et al. Subsampling for graph power spectrum estimation , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).
[57] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[58] Magno T. M. Silva,et al. A novel scheme for diffusion networks with least-squares adaptive combiners , 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.
[59] Richard M. Murray,et al. Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.
[60] Sergio Barbarossa,et al. Distributed Detection and Estimation in Wireless Sensor Networks , 2013, ArXiv.