Recent NewsJun 22, 2014 - ECCV '14 Paper Accepted
Jason Chang and Randi Cabezas' work: "Bayesian Nonparametric Intrinsic Image Decomposition" has been accepted (oral) to ECCV 2014.
Apr 04, 2014 - MMF Project Covered in MIT News Todays' Spotlight
Our MMF project, led by Julian Straub, was covered in MIT Today's Spotlight.
Feb 25, 2014 - CVPR '14: 4 Papers Accepted
4 papers co-authored by members of our group have been accepted to CVPR '14 (1 oral, 3 posters).
Feb 06, 2014 - AISTATS Paper Accepted
Zoran Dzunic's work on "Bayesian Switching Interaction Analysis Under Uncertainty" has been accepted to the International Conference on Artificial Intelligence and Statistics (AISTATS '14).
About SLIOur group focuses on the analysis of complex, high-dimensional data. We combine elements of Bayesian inference, information theory, optimization, and physical sensor models to develop scalable algorithms with theoretical performance guarantees. Application areas include multi-modal data fusion, distributed inference under resource constraints, structural inference, resource management in sensor networks, and analysis of video, seismic volumes, and radar images.
Group Dinner - 05/20/2014
Left to Right: Oren Freifeld, Sue Zheng, Giorgos Papachristoudis, Guy Rosman, Christopher Dean, Jason Chang, Julian Straub, Randi Cabezas, John Fisher, Hossein Mobahi, Bonny Jain.