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Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling
IEEE signal processing magazine, 2022-11, Vol.39 (6), p.18-52
2022
Open Access
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A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
IEEE signal processing magazine, 2016-01, Vol.33 (1), p.57-77
2016
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L1-L2 Optimization in Signal and Image Processing
IEEE signal processing magazine, 2010-05, Vol.27 (3), p.76-88
2010
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Semidefinite Relaxation of Quadratic Optimization Problems
IEEE signal processing magazine, 2010-05, Vol.27 (3), p.20-34
2010
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Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]
IEEE signal processing magazine, 2021-03, Vol.38 (2), p.120-125
2021
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Game Theory for Networks: A tutorial on game-theoretic tools for emerging signal processing applications
IEEE signal processing magazine, 2016-01, Vol.33 (1), p.94-119
2016
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A Geometric Perspective of Large-Margin Training of Gaussian Models [Lecture Notes
IEEE signal processing magazine, 2010-11, Vol.27 (6), p.118-123
2010
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Properly Handling Complex Differentiation in Optimization and Approximation Problems: ICASSP Panel [Lecture Notes]
IEEE signal processing magazine, 2019-03, Vol.36 (2), p.117
2019
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Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent
IEEE signal processing magazine, 2020-05, Vol.37 (3), p.114-122
2020
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Coordinated data-injection attack and detection in the smart grid: A detailed look at enriching detection solutions
IEEE signal processing magazine, 2012-09, Vol.29 (5), p.106-115
2012
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Dynamic Graphical Models
IEEE signal processing magazine, 2010-11, Vol.27 (6), p.29-42
2010
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Synthesis of Fast-Decaying Window Functions [Lecture Notes]
IEEE signal processing magazine, 2022-03, Vol.39 (2), p.17-23
2022
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Toward Energy-Efficient 5G Wireless Communications Technologies: Tools for decoupling the scaling of networks from the growth of operating power
IEEE signal processing magazine, 2014-11, Vol.31 (6), p.24-34
2014
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Adaptive Learning in a World of Projections
IEEE signal processing magazine, 2011-01, Vol.28 (1), p.97-123
2011
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Discriminative learning in sequential pattern recognition
IEEE signal processing magazine, 2008-09, Vol.25 (5), p.14-36
2008
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Convex Optimization, Game Theory, and Variational Inequality Theory
IEEE signal processing magazine, 2010-05, Vol.27 (3), p.35-49
2010
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Mathematical analysis of super-resolution methodology
IEEE signal processing magazine, 2003-05, Vol.20 (3), p.62-74
2003
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Enriching the Art of FIR Filter Design via Convex Optimization
IEEE signal processing magazine, 2010-05, Vol.27 (3), p.89-101
2010
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Geometric Manifold Learning
IEEE signal processing magazine, 2011-03, Vol.28 (2), p.69-76
2011
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Studying That Smile
IEEE signal processing magazine, 2008-07, Vol.25 (4), p.14-26
2008
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Adjustment of nonuniform sampling locations in spatial data sets
IEEE signal processing magazine, 2004-05, Vol.21 (3), p.47-56
2004
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Trends in multicore DSP platforms
IEEE signal processing magazine, 2009-11, Vol.26 (6), p.38-49
2009
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Efficient approximations for the arctangent function
IEEE signal processing magazine, 2006-05, Vol.23 (3), p.108-111
2006
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Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance
IEEE signal processing magazine, 2012-11, Vol.29 (6), p.58-69
2012
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Parameter Estimation of Statistical Models Using Convex Optimization
IEEE signal processing magazine, 2010-05, Vol.27 (3), p.115-127
2010
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