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SUMMARY:Multi persistence and topological data analysis
DTSTART:20150320T141500
DTEND:20150320T151500
DTSTAMP:20260501T134035Z
UID:a47efaf373066092bdc4cc4a43c1fc754133f3788556af41b8850580
CATEGORIES:Conferences - Seminars
DESCRIPTION:Wojciech Chachólski\nIn this talk I will present a new method
  for extracting persistence information out of multi graded modules.  Thi
 s method is part of the so called topological data analysis (TDA for short
 ) and builds on understanding mathematical properties of what one might re
 gard as noise.  Denoising can be then thought as the localization away fr
 om the noise. I will take this opportunity to summarise  what TDA is and 
 argue that it is an interesting mathematical subject. This is a report on 
 joint work of the topological data analysis group at KTH that consists of 
 Anders Lundman\, Ryan Ramanujam\, Martina Scolamiero\, Sebastian Öberg  
 and myself.
LOCATION:CM09 http://plan.epfl.ch/?room=CM09
STATUS:CONFIRMED
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