Ma, Fossum Report on New Method for Modeling Unsorted Data

Beckman Institute faculty members Yi Ma and Robert Fossum report this month in the journal SIAM Review on a new modeling method for analyzing large amounts of unsorted high-dimensional data. They also report on successful applications of their method to real-world problems in computer vision, image processing, and system identification. To read the paper, click here.

Beckman Institute faculty members Yi Ma and Robert Fossum report this month in the journal SIAM Review on a new modeling method for analyzing large amounts of unsorted high-dimensional data. They also report on successful applications of their method to real-world problems in computer vision, image processing, and system identification. To read the paper, click here.