I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...
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We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...
Prerequisites Students entering the course are expected to have prior exposure to convex optimization and algorithms at a graduate level. It will be very useful to have a strong working knowledge of ...
The eXpressive Internet Architecture (XIA) addresses the growing diversity of network use models, the need for trustworthy communication, and the growing set of stakeholders who coordinate their ...
I'm an Assistant Teaching Professor in the Computer Science Department in Carnegie Mellon University's School of Computer Science. Before joining the CMU faculty, I was a PhD student in the Center for ...
Matthew Cuthbert and the sorrel mare jogged comfortably over the eight miles to Bright River. It was a pretty road, running along between snug farmsteads, with now and again a bit of balsamy fir wood ...
Michael Garland and Paul S. Heckbert, SIGGRAPH 97. The text of this article is available in both PDF and PostScript formats. The PDF file is recommended. It is much smaller and will reproduce well on ...
This paper describes a method for efficiently computing parallel transport of tangent vectors on curved surfaces, or more generally, any vector-valued data on a curved manifold. More precisely, it ...
Time: Monday and Wednesday, 10:30-11:50am Location: GHC 4211 ...
Depth sensors like LiDARs and Kinect use a fixed depth acquisition strategy that is independent of the scene of interest. Due to the low spatial and temporal resolution of these sensors, this strategy ...
AI for Teachers supports high school educators who want to gain familiarity with AI and offer AI-related educational activities for their students. The workshop covers an introduction to a broad range ...