Highlights
August 2009 Publication of a PAMI special section on Probabilistic Graphical Models in Computer Vision.
July 2009 I've moved to Brown! In the fall, I'm teaching Intro to Machine Learning.
May 2009 An extended technical report on the Sticky HDP-HMM, with applications to speaker diarization.
May 2009 I'm co-editing a SP Magazine special issue on Graphical Models in Signal Processing.
November 2008 Two nonparametric Bayes papers at NIPS 2008: shared segmentation of natural scenes using dependent Pitman-Yor processes, and time series modeling with the HDP switching LDS.
May 2008 Release of the TDP Matlab toolbox for part-based, nonparametric modeling of objects and scenes. See our IJCV paper.
Erik B. Sudderth
Assistant Professor
Department of Computer Science
Brown University
I am an Assistant Professor of Computer Science at Brown University. My research interests span topics traditionally studied in statistics, machine learning, computer vision, and signal processing. Much of my recent work has explored vision systems which segment, recognize, and track objects in complex natural scenes. I believe data-driven, nonparametric Bayesian statistical methods provide a very promising framework to address such problems. My more abstract statistical research is inspired by the practical challenges of learning from large, richly structured datasets.
In June of 2006, I completed my Ph.D. in the EECS department at MIT, where I was advised by Professors Alan Willsky and William Freeman. The background chapter of my thesis provides a tutorial introduction to statistical machine learning, including probabilistic graphical models; Monte Carlo and variational inference algorithms such as belief propagation; and nonparametric Bayesian methods based on the Dirichlet process.
Brown University
Brown provides an exciting, interdisciplinary environment for research in machine learning and computer vision:
- Brown Center for Vision Research and Institute for Brain Science
- Brown Machine Learning Reading Group
- Brown Pattern Theory Group and seminar series
- Applications of machine learning at Brown: Artificial Intelligence, Robotics, Natural Language Processing
Contact Information
CIT Room 509
Department of Computer Science
115 Waterman Street
Brown University, Box 1910
Providence, RI 02912
Tel: (401) 863-7660
Fax: (401) 863-7657
