Matthew Brand
MERL Research / Technical StaffSenior Research Scientist
Ph.D., Northwestern University, 1994
Phone: (617) 621-7500
Email:
Matthew Brand studies unsupervised learning from sensory data. One goal is to make machines that learn to realistically mimic and augment human performances; another is to optimize systems that serve the conflicting interests of large numbers of people. Recent results include spectral solutions for reconstructing manifolds from samples, decision-theoretic elevator group control, a linear-time online SVD, video-realistic synthesis of humans and nature scenes, recovery of nonrigid 3D shape from ordinary video, and an entropy optimization framework for learning. Brand has been named one of the top innovators of his generation (Technology Review 1999) and one of industry's top "R&D stars" (Industry Week 2000). Recent academic honors include best paper awards in computer vision (CVPR2001) and scheduling (ICAPS2003).
Recent Projects:
Dimensionality ReductionStochastic Routing
Recent Publications:
Nikolova, E.; Brand, M.; Karger, D.R., "Optimal Route Planning under Uncertainty", International Conference on Automated Planning and Scheduling (ICAPS), June 2006 (ICAPS 2006, TR2006-060)Brand, M., "Fast Low-Rank Modifications of the Thin Singular Value Decomposition", Linear Algebra and Its Applications, Vol. 415, Issue 1, pp. 20-30, May 2006 (Elsevier Science Direct, TR2006-059)
Brand, M., "Nonrigid Embeddings for Dimensionality Reduction", European Conference on Machine Learning (ECML), ISBN: 3-540-29243-8, Vol. 3720, October 2005 (Springer, TR2005-117)
Vlasic, D.; Brand, M.; Pfister, H.; Popovic, J., "Face Transfer with Multilinear Models", ACM Transactions on Graphics (TOG), ISSN: 0730=0301, Vol. 24, Issue 3, pp. 426-433, July 2005 (ACM Press, TR2005-048)
Recent Technical Reports: | |
| A Conditional Random Field for Automatic Photo Editing | |
| A Random Walks Perspective on Maximizing Satisfaction and Profit | |
