Workshop Announcement: ---------------------------------------------------------------- Statistical Inferences on Shape Manifolds ---------------------------------------------------------------- May 6 to May 9, 2005 American Institute of Mathematics Research Conference Center Palo Alto, California http://aimath.org/ARCC/workshops/shapemanifolds.html ------------ Description: ------------ This workshop, sponsored by AIM and the NSF, will be devoted to algorithmic and computational shape analysis. It will bring together researchers in the field of shape analysis to identify and discuss outstanding issues in algorithmic shape representation, statistical inferences on shape manifolds, and applications to areas such as medical imaging, homeland security and military target recognition. Algorithmic shape analysis has a multidisciplinary nature, so the workshop will seek to promote interaction and foster the development of new collaborations among researchers with expertise in mathematics, statistics and image analysis. The workshop is organized by Washington Mio, David Mumford, and Anuj Srivastava. For more details please see the workshop announcement page: http://aimath.org/ARCC/workshops/shapemanifolds.html Space and funding is available for a few more participants. If you would like to participate, please apply by filling out the on-line form (available at the link above) no later than February 6, 2005. Applications are open to all, and we especially encourage women, underrepresented minorities, junior mathematicians, and researchers from primarily undergraduate institutions to apply. Before submitting an application, please read the ARCC policies concerning participation and financial support for participants. -------------------------------------- AIM Research Conference Center (ARCC): -------------------------------------- The AIM Research Conference Center (ARCC) will hosts focused workshops in all areas of the mathematical sciences. ARCC focused workshops are distinguished by their emphasis on a specific mathematical goal, such as making progress on a significant unsolved problem, understanding the proof of an important new result, or investigating the convergence between two distinct areas of mathematics. For more information about ARCC, please visit http://www.aimath.org/ARCC/