- On Separation of Semitransparent Dynamic Images from Static Background
- A New Class of Sigmoid Activation Functions That Don't D. Greig, H. T. Siegelmann and M. Zibulevsky
- Smoothing Method of Multipliers for Sum-Max Problems
- Pattern Recognition via Support Vector Machine with Computationally Efficient Nonlinear
- T-SP-01661-2003.R1 ACCEPTED TO IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 Relative Optimization for Blind Deconvolution
- Signal Processing 86 (2006) 624638 Signal reconstruction in sensor arrays using sparse
- Blind Source Separation by Sparse Decomposition Michael Zibulevsky and Barak A. Pearlmutter, University of New Mexico,
- ML Reconstruction of Dynamic PET Images from Projections and Clist
- Penalty/Barrier Multiplier Methods for Large-Scale Nonlinear
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- Extraction of a Source from Multichannel Data Using Sparse Decomposition 1
- Recovering shape and distribution of delays of repetitive responses in
- Penalty/Barrier Multiplier Algorithm for Semide nite Programming
- Penalty/Barrier Multiplier Methods for Convex Programming Problems
- Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
- Sequential Subspace Optimization Method for Large-Scale Unconstrained Problems
- Signal denoising by constraining the residual to be statistically noise-similar
- 7 Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source
- Compressive Sensing for Hyperspectral Imaging Research Thesis
- ARTICLE IN PRESS Learning subject-specific spatial and temporal filters for
- Support Vector Machine via Sequential Subspace Optimization Support Vector Machine
- MEG/EEG Source Localization Using Spatio-Temporal Sparse Representations
- Blind source separation using block-coordinate relative Newton method
- SUBMITTED TO IEEE TRANSACTIONS ON MEDICAL IMAGING, MARCH 2002 1 Abstract--We show an iterative reconstruction framework for
- NMIS-07 SUBMITTED TO IEEE TRANSACTIONS ON NUCLEAR SCIENCE, MARCH 2002 SECOND REVIEW 1 Abstract--We consider detection of high-energy photons
- Signal Processing 81 (2001) 23532362 www.elsevier.com/locate/sigpro
- Blind Source Separation using Relative Newton Method combined with
- SECOND ORDER BLIND SOURCE SEPARATION BY RECURSIVE SPLITTING OF SIGNAL SUBSPACES
- IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. X, NO. X, XX 200X 1 Double Sparsity: Learning Sparse Dictionaries for
- SUBMITTED FOR REVIEW TO IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Blind Deconvolution of Images using Optimal
- Handbook of Blind Source Separation, Independent Component Analysis
- IEEE SIGNAL PROCESSING MAGAZINE [76] MAY 2010 1053-5888/10/$26.002010IEEE parse, redundant representations offer a powerful emerging model
- SESOP-TN: Combining Sequential Subspace Optimization with Truncated Newton method
- Penalty/Barrier Multiplier Algorithm for Semidefinite Programming
- Penalty/Barrier Multiplier Methods for Large-Scale Nonlinear
