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AAAI
2011
13 years 9 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
INFOCOM
2012
IEEE
13 years 5 days ago
Multiple random walks to uncover short paths in power law networks
—Developing simple distributed algorithms to allow nodes to perform topology discovery and message routing using incomplete topological information is a problem of great interest...
Bruno F. Ribeiro, Prithwish Basu, Don Towsley
CVPR
2012
IEEE
13 years 5 days ago
Are we ready for autonomous driving? The KITTI vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...
Andreas Geiger, Philip Lenz, Raquel Urtasun
ECCV
2004
Springer
15 years 11 months ago
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
SC
2009
ACM
15 years 4 months ago
Scalable temporal order analysis for large scale debugging
We present a scalable temporal order analysis technique that supports debugging of large scale applications by classifying MPI tasks based on their logical program execution order...
Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna...