Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Tóm tắt
Từ khóa
Tài liệu tham khảo
brand, 2003, charting a manifold, Adv Neural Inf Process Syst, 985
ghahramani, 2000, variational inference for bayesian mixtures of factor analysers, Adv Neural Inf Process Systems, 12, 449
thibaux, 2007, hierarchical beta processes and the indian buffet process, Proc Int Conf Artificial Intelligence Statistics
dasgupta, 2000, Learning probability distributions
eldar, 2008, Block-sparsity Coherence and efficient recovery
wakin, 2008, Manifold-Based Signal Recovery and Parameter Estimation From Compressive Measurements
eldar, 2008, Robust Recovery of Signals From a Union of Subspaces
tenenbaum, 2000, a global geometric framework for nonlinear dimensionality reduction, Science, 290, 2319, 10.1126/science.290.5500.2319
sethuraman, 2001, a constructive definition of the dirichlet prior, Statistica Sinica, 2, 639
ghahramani, 1997, The EM algorithm for mixtures of factor analyzers
baraniuk, 2008, Model-Based Compressive Sensing
papaspiliopoulos, 2008, retrospective markov chain monte carlo methods for dirichlet process hierarchical models, Biometrika, 95, 169, 10.1093/biomet/asm086
eldar, 2009, Compressed sensing of block-sparse signals Uncertainty relations and efficient recovery