suresh at cs utah edu
Ph: 801 581 8233
Room 3404, School of Computing
50 S. Central Campus Drive,
Salt Lake City, UT 84112.

NSF CCF-0841185: SGER: Scalable Shape Analysis in Non-Euclidean Spaces with Provable Guarantees

Advances in medical imaging technology have allowed clinicians to generate vast amounts of shape data describing various parts of the human body. In doing so, the goal is to obtain precise statistical notions of what a "normal" morphology looks like, and what the different types of "abnormal" morphology look like, so that clinicians can target treatment to patients based on these classifications.

Developing tools for the statistical analysis of morphology (i.e. shape) has the potential to transform medical imaging processes in a fundamental way, allowing us to understand at a large scale the normal and abnormal variations in human organs and provide a statistical "map" of the human body. In this research, the PI develops new tools for the statistical analysis of shape by combining the mathematics of non-Euclidean shape spaces with techniques for approximating and efficiently manipulating such spaces.

All the research described below has been funded by the NSF under grant CCF-0841185. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."

Computing Hulls, Centerpoints and VC dimension in Positive Definite Space [author]P. Thomas Fletcher, John Moeller, Jeff Phillips and Suresh Venkatasubramanian[/author] In Algorithms And Data Structures Symposium (formerly WADS), 2011.

Active Supervised Domain Adaptation [author]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, and Scott L. DuVall[/author] In the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011)

Johnson-Lindenstrauss Dimensionality Reduction on the Simplex [author]Rasmus J. Kyng, Jeff M. Phillips and Suresh Venkatasubramanian[/author] In the 20th Fall Workshop on Computational Geometry, 2010.