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ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
14 years 7 days ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
STOC
1996
ACM
185views Algorithms» more  STOC 1996»
13 years 11 months ago
Adaptively Secure Multi-Party Computation
A fundamental problem in designing secure multi-party protocols is how to deal with adaptive adversaries i.e., adversaries that may choose the corrupted parties during the course ...
Ran Canetti, Uriel Feige, Oded Goldreich, Moni Nao...
RTSS
2000
IEEE
13 years 10 months ago
Efficient Scheduling of Sporadic, Aperiodic, and Periodic Tasks with Complex Constraints
Many industrial applications with real-time demands are composed of mixed sets of tasks with a variety of requirements. These can be in the form of standard timing constraints, su...
Damir Isovic, Gerhard Fohler
ICA
2010
Springer
13 years 7 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
IJRR
2007
100views more  IJRR 2007»
13 years 6 months ago
Exactly Sparse Extended Information Filters for Feature-based SLAM
Recent research concerning the Gaussian canonical form for Simultaneous Localization and Mapping (SLAM) has given rise to a handful of algorithms that attempt to solve the SLAM sc...
Matthew Walter, Ryan Eustice, John J. Leonard