Geometric Methods in Image Processing Networks, and Machine Learning

Speaker


Andrea Bertozzi
Date
Thu April 18th 2013, 4:30pm
Event Sponsor
Mathematics Research Center
Location
Building 380, Room 380W
MRC Event Series

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.

You can learn more about Professor Andrea Bertozzi at https://www.math.ucla.edu/~bertozzi/