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POPL
2007
ACM
14 years 6 months ago
Variance analyses from invariance analyses
An invariance assertion for a program location is a statement that always holds at during execution of the program. Program invariance analyses infer invariance assertions that ca...
Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Di...
MOBIHOC
2005
ACM
14 years 5 months ago
Power balanced coverage-time optimization for clustered wireless sensor networks
We consider a wireless sensor network in which sensors are grouped into clusters, each with its own cluster head (CH). Each CH collects data from sensors in its cluster and relays...
Tao Shu, Marwan Krunz, Sarma B. K. Vrudhula
AAAI
2008
13 years 8 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
AIPS
2008
13 years 8 months ago
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...
Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden
IJRR
2011
218views more  IJRR 2011»
13 years 22 days ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...