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Spring 2013 GRASP Seminar: Rene Vidal, Johns Hopkins University, “Sparse and Low-Rank Subspace Clustering”

March 15, 2013 @ 11:00 am - 12:00 pm

Abstract: In the era of data deluge, the development of methods for discovering
structure in high-dimensional data is becoming increasingly important.
Traditional approaches often assume that the data is sampled from a
single low-dimensional manifold. However, in many applications in
signal/image processing, machine learning and computer vision, data in
multiple classes lie in multiple low-dimensional subspaces of a
high-dimensional ambient space. In this talk, I will present methods
from algebraic geometry, sparse representation theory and rank
minimization for clustering and classification of data in multiple
low-dimensional subspaces. I will show how these methods can be
extended to handle noise, outliers as well as missing data. I will also
present applications of these methods to video segmentation and face


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Professor Vidal received his Ph.D. in Electrical Engineering and
Computer Sciences from the University of California at Berkeley in
2003, and has been on the faculty of the Center for Imaging Science in
the Department of Biomedical Engineering of The Johns Hopkins
University since 2004, where he is currently an Associate Professor.
His research interest are biomedical image analysis, computer vision,
machine learning, hybrid systems, robotics and signal processing. Dr.
Vidal has received numerous awards for his work, including the IAPR
2012 J.K. Aggarwal Prize for “outstanding contributions to generalized
principal component analysis (GPCA) and subspace clustering in computer
vision and pattern recognition”, the 2012 Best Paper Award in Medical
Robotics and Computer Assisted Interventions, the 2012 Best Paper Award
at the Conference on Decision and Control, the 2009 ONR Young
Investigator Award, the 2009 Sloan Research Fellowship, the 2005 NFS
CAREER Award and the 2004 Best Paper Award Honorable Mention at the
European Conference on Computer Vision. He is Associate Editor of the
IEEE Transactions on Pattern Analysis and Machine Intelligence, the
SIAM Journal on Imaging Sciences and the Journal of Mathematical
Imaging and Vision, and has served as an area chair or program
committee member for all major conferences in computer vision and
medical imaging. He is a senior member of the IEEE and a member of the


March 15, 2013
11:00 am - 12:00 pm
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