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Dr. John W Fisher
Senior Research Scientist
Primary DLC
Computer Science and Artificial Intelligence Laboratory
MIT Room:
32-D468
(617) 253-0788
fisher@csail.mit.edu
http://groups.csail.mit.edu/vision/sli/
Areas of Interest and Expertise
Information Theory
Nonparametric Statistics
Machine Learning
Pattern Recognition
Distributed Inference and Learning in Sensor Networks
Multi-Modal Data Fusion and Functional Imaging
Source Separation
Computer Vision
Parameter Estimation
Big Data
Research Summary
Lately Fisher has been working on signal level approaches to multi-modal data fusion, distributed inference under resource constraints, resource management in sensor networks, and analysis of seismic and radar images.
Through a collaboration with Sandy Wells (affiliated with CSAIL and the Surgical Planning Lab at Brigham and Women's Hospital), Fisher is working on nonparametric approaches to functional imaging (particularly fMRI) and image registration. However, he is generally interested in statistical and information theoretic approaches to machine learning, signal processing, and computer vision - or any combination thereof.
Some recent work Fisher has done was with Erik Learned-Miller (former CSAIL Ph.D. student, now a professor at UMass Amherst) is a an ICA algorithm called RADICAL.
Recent Work
Projects
February 21, 2018
Computer Science and Artificial Intelligence Laboratory
Bayesian Nonparametric Modeling of Driver Behavior
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Mixture of Manhattan Frames
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Sensing, Learning, and Inference Group (SLI)
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Bayesian Structure Inference and Interaction Analysis
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Sensor Selection
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
MCMC Sampling Over Shapes
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Automatic Registration of Multimodal Images Via Learned Shared Features
Principal Investigator
John Fisher
April 9, 2014
Computer Science and Artificial Intelligence Laboratory
Mixture Model MCMC Inference
Principal Investigator
John Fisher
February 6, 2014
Computer Science and Artificial Intelligence Laboratory
Using Driver History to Improve Active Safety and Driver Assist Features
Principal Investigator
John Fisher
Related Faculty
Caglar Yildirim
Research Scientist
Matt Hoey
Client Relations Manager
Jamie C Macbeth
Research Affiliate