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SUMMARY:Template shape estimation: correcting an asymptotic bias - Nina Mi
 olane (INRIA)
DTSTART:20171116T094500Z
DTEND:20171116T103000Z
UID:TALK95143@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Computational Anatomy studies the normal and pathological vari
 ations of organs&#39\; shapes\, often with respect to a mean organ shape c
 alled the template shape. Estimating the template shape is then the first 
 step of the analysis.   We use tools from geometric statistics to demonstr
 ate the asymptotic biasedness of the &ldquo\;Frechet mean algorithm&rdquo\
 ;\, also called "Max-max algorithm"\, used for template shape estimation. 
 The geometric intuition provided by this study leads us to suggest two deb
 iasing procedures that we compare. Our results are illustrated on syntheti
 c and real data sets.   This is joint work with Dr. Xavier Pennec and Pr. 
 Susan Holmes.
LOCATION:Seminar Room 1\, Newton Institute
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