2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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SPTM-24: Sparsity-aware Processing

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Selin Aviyente, Michigan State University
 
 SPTM-24.1: CORRELATION-BASED ROBUST LINEAR REGRESSION WITH ITERATIVE OUTLIER REMOVAL
         Jian Ding; Xi'an Jiaotong University
         Jianji Wang; Xi'an Jiaotong University
         Yue Zhang; DongFang Electric Machinery Co., Ltd
         Yuanjie Li; DEC Academy of Science and Technology Co., Ltd
         Nanning Zheng; Xi'an Jiaotong University
 
 SPTM-24.2: ON THE OPTIMALITY OF BACKWARD REGRESSION: SPARSE RECOVERY AND SUBSET SELECTION
         Sebastian Ament; Cornell University
         Carla Gomes; Cornell University
 
 SPTM-24.3: GENERAL TOTAL VARIATION REGULARIZED SPARSE BAYESIAN LEARNING FOR ROBUST BLOCK-SPARSE SIGNAL RECOVERY
         Aditya Sant; University of California, San Diego
         Markus Leinonen; University of Oulu
         Bhaskar D. Rao; University of California, San Diego
 
 SPTM-24.4: AUTOMATIC REGISTRATION AND CLUSTERING OF TIME SERIES
         Michael Weylandt; University of Florida
         George Michailidis; University of Florida
 
 SPTM-24.5: LOW-RANK ON GRAPHS PLUS TEMPORALLY SMOOTH SPARSE DECOMPOSITION FOR ANOMALY DETECTION IN SPATIOTEMPORAL DATA
         Seyyid Emre Sofuoglu; Michigan State University
         Selin Aviyente; Michigan State University
 
 SPTM-24.6: A PARALLEL ALGORITHM FOR PHASE RETRIEVAL WITH DICTIONARY LEARNING
         Tianyi Liu; Technische Universitaet Darmstadt
         Andreas M. Tillmann; Technische Universität Braunschweig
         Yang Yang; Fraunhofer ITWM
         Yonina C. Eldar; Weizmann Institute of Science
         Marius Pesavento; Technische Universitaet Darmstadt