SPTM-L4: Compressed Sensing and Sparsity II |
Session Type: Lecture |
Time: Wednesday, March 28, 14:00 - 16:00 |
Location: Room C-2 |
Session Chairs: Vikram Krishnamurthy, University of British Columbia and Masaaki Nagahara, Kyoto University
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SPTM-L4.1: COMPRESSIVE VIDEO RECOVERY WITH UPPER AND LOWER BOUND CONSTRAINTS
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David Jones; University of California at Merced
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Rachel Schlick; University of California at Merced
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Roummel Marcia; University of California at Merced
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SPTM-L4.2: FILTERED VARIATION METHOD FOR DENOISING AND SPARSE SIGNAL PROCESSING
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Kivanc Kose; Bilkent University
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Volkan Cevher; École Polytechnique Fédérale de Lausanne
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A. Enis Cetin; Bilkent University
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SPTM-L4.3: EFFICIENT RECOVERY OF BLOCK SPARSE SIGNALS VIA ZERO-POINT ATTRACTING PROJECTION
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Jingbo Liu; Tsinghua University
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Jian Jin; Tsinghua University
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Yuantao Gu; Tsinghua University
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SPTM-L4.4: DESIGN OF UNIVERSAL MULTICOSET SAMPLING PATTERNS FOR COMPRESSED SENSING OF MULTIBAND SPARSE SIGNALS
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María Elena Domínguez-Jiménez; Universidad Politécnica de Madrid
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Nuria González-Prelcic; Universidade de Vigo
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Gonzalo Vazquez-Vilar; Universidade de Vigo
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Roberto López-Valcarce; Universidade de Vigo
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SPTM-L4.5: DICTIONARY LEARNING FROM SPARSELY CORRUPTED OR COMPRESSED SIGNALS
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Christoph Studer; Rice University
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Richard Baraniuk; Rice University
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SPTM-L4.6: RECOVERY OF BLOCK SPARSE SIGNALS USING THE FRAMEWORK OF BLOCK SPARSE BAYESIAN LEARNING
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Zhilin Zhang; University of California at San Diego
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Bhaskar D. Rao; University of California at San Diego
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