SS-L10: Analysis Sparsity |
| Session Type: Lecture |
| Time: Friday, March 30, 10:30 - 12:30 |
| Location: Room E
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| Session Chairs: Mark D. Plumbley, Queen Mary University of London and Michael E. Davies, University of Edinburgh
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SS-L10.1: PHYSICS-DRIVEN STRUCTURED COSPARSE MODELING FOR SOURCE LOCALIZATION
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| Sangnam Nam; INRIA Rennes
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| Rémi Gribonval; INRIA Rennes
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SS-L10.2: ANALYSIS-BASED SPARSE RECONSTRUCTION WITH SYNTHESIS-BASED SOLVERS
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| Nicolae Cleju; Technical University Gheorghe Asachi of Iasi
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| Maria G. Jafari; Queen Mary University of London
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| Mark D. Plumbley; Queen Mary University of London
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SS-L10.3: K-SVD DICTIONARY-LEARNING FOR THE ANALYSIS SPARSE MODEL
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| Ron Rubinstein; Technion – Israel Institute of Technology
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| Tomer Faktor; Technion – Israel Institute of Technology
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| Michael Elad; Technion – Israel Institute of Technology
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SS-L10.4: NOISE AWARE ANALYSIS OPERATOR LEARNING FOR APPROXIMATELY COSPARSE SIGNALS
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| Mehrdad Yaghoobi; University of Edinburgh
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| Sangnam Nam; INRIA
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| Rémi Gribonval; INRIA
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| Michael E. Davies; University of Edinburgh
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SS-L10.5: LIGHT FIELD COMPRESSIVE SENSING IN CAMERA ARRAYS
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| Mahdad Hosseini Kamal; École Polytechnique Fédérale de Lausanne
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| Mohammad Golbabaee; École Polytechnique Fédérale de Lausanne
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| Pierre Vandergheynst; École Polytechnique Fédérale de Lausanne
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