Joint Mathematics Colloquium
University of Idaho
|Geometric methods have revolutionized the
field of image processing and image analysis. I will review some of
these classical methods including image snakes, total variation
minimization, image segmentation methods
based on curve minimization, diffuse interface methods, and state of the art fast computational algorithms that include ideas from compressive sensing. Recently some of these concepts have shown promise for problems in
high dimensional data analysis and machine learning on graphs. I will give an overview of some of the classical results from imaging and ongoing work in high dimensional and network data.