My ICASSP 2016 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
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Paper Detail

Paper:SS-L5.5
Session:Big Data and Signal Processing: A Computational Topology Approach
Session Time:Thursday, March 24, 08:30 - 10:30
Presentation Time:Thursday, March 24, 09:50 - 10:10
Presentation: Lecture
Topic: Special Sessions: Big Data and Signal Processing: A Computational Topology Approach
Paper Title: Exploring Persistent Local Homology in Topological Data Analysis
Authors: Brittany Fasy; Montana State University 
 Bei Wang; University of Utah 



ICASSP 2016 Patrons