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My Asilomar 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Technical Program

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

TH1-5: Sparsity-aware learning

Session Type: Virtual
Time: Thursday, November 5, 08:00 - 09:20
Location: Room 5
Session Chair: Vaishali Amin, Temple University
 
  TH1-5-1: IMPROVED TIME-FREQUENCY REPRESENTATION OF MULTI-COMPONENT FM SIGNALS WITH COMPRESSED OBSERVATIONS
         Vaishali S. Amin; Temple University
         Yimin D. Zhang; Temple University
         Braham Himed; Air Force Research Laboratory
 
  TH1-5-2: POSTERIOR VARIANCE PREDICTIONS IN SPARSE BAYESIAN LEARNING UNDER APPROXIMATE INFERENCE TECHNIQUES
         Christo Kurisummoottil Thomas; Eurecom
         Dirk Slock; Eurecom
 
  TH1-5-3: THIRD-ORDER CUMULANTS RECONSTRUCTION FROM COMPRESSIVE MEASUREMENTS
         Yanbo Wang; George Mason University
         Zhi Tian; George Mason University
 
  TH1-5-4: IMPROVED BLOCK-SPARSE RECOVERY BOUND USING CUMULATIVE BLOCK COHERENCE
         Pouria Saidi; University of Central Florida
         George Atia; University of Central Florida
         Azadeh Vosoughi; University of Central Florida