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IEEE SP ATLANTA - HIGHER-ORDER DATA REPRESENTATIONS AND APPLICATIONS TO BRAIN CONNECTIVITY BY PROF. SELIN AVIYENTE
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The IEEE Signal Processing Society Chapter of Atlanta is honored to host Prof. Selin Aviyente
Prof. Selin Aviyente from Michigan State University will present an exciting lecture titled "Higher-Order Data Representation and Applications to Brain Connectivity"
October 10, 2017, 11:30 am - 1 pm
Technology Square Research Building (TSRB), Auditorium
Georgia Tech
In this lecture, Prof. Aviyente will present a tensor-based framework for data reduction and low-dimensional structure learning. In particular, she will present a robust low-rank & sparse linear structure learning algorithms for tensors; a multi-scale, locally linear adaptive tensor decomposition for compressing tensor data and a tensor based framework for community detection in multi-layer, dynamic networks. Dr. Aviyente will illustrate the applications of this framework on neuroimaging and brain connectivity with a particular focus on reducing dynamic functional connectivity networks into physiologically meaningful network components.
Please RSVP at https://meetings.vtools.ieee.org/m/47229 or to alessio.medda@gtri.gatech.edu
11:30 - Registration
11:45 - Refreshments and light lunch
12:00 - Prof. Aviyente Lecture
12:45 - Q&A
We are looking forward to seeing you there!
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- Workflow Status:Published
- Created By:Kristen Bailey
- Created:10/06/2017
- Modified By:Kristen Bailey
- Modified:10/06/2017
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