MEETING-DATE:January 23, 2019
MEETING-LOCATION:DC 1331
MEETING-TIME:11:00
MEETING-CHAIR:Craig Kaplan
MEETING-CHAIRPIC:craig.jpg
COFFEE-HOUR-LAST-WEEK:Clara
COFFEE-HOUR-THIS-WEEK:Volunteers?
COFFEE-HOUR-NEXT-WEEK:Volunteers?
FORTH-DATE1:January 30, 2019
FORTH-DATE2:February 6, 2019
FORTH-DATE3:February 13, 2019
FORTH-DATE4:February 20, 2019
FORTH-LOCATION1:DC 1331 11:00
FORTH-LOCATION2:DC 1331 11:00
FORTH-LOCATION3:DC 1331 11:00
FORTH-LOCATION4:DC 1331 11:00
FORTH-CHAIR1:Nathan King
FORTH-CHAIR2:Stephen Mann
FORTH-CHAIR3:Tyler Nowicki
FORTH-CHAIR4:Jonathan Panuelos
FORTH-CHAIRPIC1:chair.jpg
FORTH-CHAIRPIC2:smann-3.jpg
FORTH-CHAIRPIC3:tyler.jpg
FORTH-CHAIRPIC4:chair2.jpg
FORTH-TP1:Craig Kaplan
FORTH-TP2:Ryan Goldade
FORTH-TP3:Stephen Mann
FORTH-TP4:Tyler Nowicki
FORTH-TPPIC1:craig.jpg
FORTH-TPPIC2:ryan.jpg
FORTH-TPPIC3:smann-3.jpg
FORTH-TPPIC4:tyler.jpg
TPNAME:Clara Kang
TPTITLE:Warping Pictures Nicely
TPABSTRACT:The paper presents an iterative algorithm that warps imagery from an arbitrarily shaped source region to an arbitrarily shaped target region.
TPPIC:chair.jpg
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SEMINARS:<ul style="margin-top: 10px;"><li>Learning to Understand Entities in Text<br/>Eunsol Choi, Paul G. Allen School of Computer Science<br/>University of Washington<br/>10:30 a.m., DC 1304</li><br/><li>From Sorcery to Science: How Hollywood Physics Advances Computational Engineering<br/>Eitan Grinspun, Department of Computer Science and Applied Mathematics<br/>Columbia University<br/>3:45 p.m. refreshments, 4:00 p.m. talk<br/>MC 5479&#8232;</li><br/><li>Applications of Artificial Intelligence to the NHL Entry Draft<br/>Brandon Alcox, Master’s candidate<br/>David R. Cheriton School of Computer Science<br/>4:00 p.m. DC 2310</li><br/><li>Barn Raising of the Omnitruncated Dodecaplex<br/>Pop by the M3 Atrium to watch Professor Benoit Charbonneau and student, staff and faculty volunteers create an omnitruncated dodecaplex piece-by-piece<br/>Volunteers needed; please sign up on the website<br/>8:00 a.m. to 6:00 p.m.<br/>M3 Atrium</li><br/><li>Multimedia Machine Learning/AI for Multimedia Content Analysis<br/>Xiao-Ping Zhang, Department of Electrical, Computer & Biomedical Engineering<br/>Ryerson University<br/>11:00 a.m. DC 1302</li><br/><li>Wednesday, 30 January 2019, 4:00PM - Statistics & Actuarial Science , M3-3127<br/>Harlan Campbell<br/>If Journals Embraced Conditional Equivalence Testing, Would Research be Better?</li></ul>