Recent NewsJan 26, 2015 - AISTATS '15 Paper Accepted (Oral Presentation)
Work by Julian Straub, Jason Chang, Oren Freifeld and John W. Fisher III proposing "A Dirichlet Process Mixture Model for Spherical Data" was accepted as an oral presentation at AISTATS '15.
Nov 21, 2014 - AAAI'15 Paper Accepted (Oral Presentation)
Hossein Mobahi's paper on "A Theoretical Analysis of Optimization by Gaussian Continuation" accepted to 29th Conference on Artificial Intelligence (AAAI-15).
Oct 20, 2014 - Two Papers Accepted to EMMCVPR'2015
Hossein's papers titled "On the Link Between Gaussian Homotopy Continuation and Convex Envelopes" and "Coarse-to-Fine Minimization of Some Common Nonconvexities" are accepted to EMMCVPR'2015.
Oct 04, 2014 - NIPS '14 Papers Accepted
Jason Chang's work on "MCMC Sampling in HDPs using Sub-Clusters" and Guy Rosman's work on "Coresets for k-Segmentation of Streaming Data" have been accepted to the annual Neural Information Processing Systems (NIPS '14) conference.
Jun 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.
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.