Meeting Agenda

Date:	January 23, 2019
Location:	DC 1331
Time:	11:00
Chair:	Craig Kaplan

1. Acceptance of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour last week:

Clara - thanks!

Coffee hour this week:

Volunteers?

Coffee hour next week:

Volunteers?

3. Forthcoming

Date:	January 30, 2019	February 6, 2019	February 13, 2019	February 20, 2019
Location:	DC 1331 11:00	DC 1331 11:00	DC 1331 11:00	DC 1331 11:00
Chair:	Nathan King	Stephen Mann	Tyler Nowicki	Jonathan Panuelos
Technical Presentation:	Craig Kaplan	Ryan Goldade	Stephen Mann	Tyler Nowicki

4. Technical Presentation

Clara Kang	Title : Warping Pictures Nicely Abstract: The paper presents an iterative algorithm that warps imagery from an arbitrarily shaped source region to an arbitrarily shaped target region.

5. Discussion Items

6. Seminars and Events

• Learning to Understand Entities in Text
  Eunsol Choi, Paul G. Allen School of Computer Science
  University of Washington
  10:30 a.m., DC 1304


• From Sorcery to Science: How Hollywood Physics Advances Computational Engineering
  Eitan Grinspun, Department of Computer Science and Applied Mathematics
  Columbia University
  3:45 p.m. refreshments, 4:00 p.m. talk
  MC 5479



• Applications of Artificial Intelligence to the NHL Entry Draft
  Brandon Alcox, Master’s candidate
  David R. Cheriton School of Computer Science
  4:00 p.m. DC 2310


• Barn Raising of the Omnitruncated Dodecaplex
  Pop by the M3 Atrium to watch Professor Benoit Charbonneau and student, staff and faculty volunteers create an omnitruncated dodecaplex piece-by-piece
  Volunteers needed; please sign up on the website
  8:00 a.m. to 6:00 p.m.
  M3 Atrium


• Multimedia Machine Learning/AI for Multimedia Content Analysis
  Xiao-Ping Zhang, Department of Electrical, Computer & Biomedical Engineering
  Ryerson University
  11:00 a.m. DC 1302


• Wednesday, 30 January 2019, 4:00PM - Statistics & Actuarial Science , M3-3127
  Harlan Campbell
  If Journals Embraced Conditional Equivalence Testing, Would Research be Better?

Also see other Math and CS postings.

11. Lab Cleanup