Danny TarlowPh.D. StudentMachine Learning Research Group Department of Computer Science University of Toronto dtarlow cs toronto edu |
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| Oct 28, 2009 | I'm giving today's tea talk on Joint optimization of segmentation and appearance models. |
| Sept 28, 2009 | I'm giving the Machine Learning seminar on Max product in high order factor graphs |
| Sept 5, 2009 | Moved and settled back in Toronto. |
Machine Learning & Computer Vision
Learning Articulated Skeletons From Motion (2007)
David Ross,
Daniel Tarlow, and
Richard Zemel.
Workshop on Dynamical Vision at International Conference on Computer Vision (WDV-ICCV).
[pdf]
[webpage]
[bibtex]
Using Combinatorial Optimization within Max-Product Belief Propagation (2007)
John Duchi,
Daniel Tarlow,
Gal Elidan, and
Daphne Koller.
Advances in Neural Information Processing Systems (NIPS 19).
[pdf]
[bibtex]
Civil & Environmental Engineering
Automatically Calibrating a Probabilistic Graphical Model of Building Energy Consumption
IBPSA Conference on Building Simulation, Glasgow, Scotland, Summer 2009.
Flexible Priors for Exemplar-based Clustering
Uncertainty in Artificial Intelligence, Helsinki, Finland,
Summer 2008.
Toronto Machine Learning Group Seminar,
Toronto, Canada, Winter 2008.
[pdf]
[video]
Learning Articulated Skeletons from Motion
CIFAR Summer School on Neural Computation and Adaptive Perception,
Summer 2007.
[pdf]
Using Combinatorial Optimization within Max-Product Belief Propagation
Toronto Machine Learning Group Seminar, Toronto, Canada,
Fall 2006.
[ppt] [pdf]
The Role of Features in a Feedback-based Ranking System
Google TechTalk,
Mountain View, California, Summer 2006.
Partition-based Inference in Markov Networks
with John Duchi.
Daphne's Approximate Group of Students,
Stanford, California, Spring 2006.
Learning in General Games
with Lee Zen and Ankit Garg.
Stanford Logic Group,
Stanford, California, Winter 2005.
[link]
Automated Grading of Logic-based Homework Problems
Stanford Logic Group,
Stanford, California, Summer 2004.