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» Managing Complexity in Large Learning Robotic Systems
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ICDCS
2005
IEEE
14 years 1 months ago
Comparison of Approaches to Service Deployment
IT today is driven by the trend of increasing scale and complexity. Utility and Grid computing models, PlanetLab, and traditional data centers, are reaching the scale of thousands...
Vanish Talwar, Qinyi Wu, Calton Pu, Wenchang Yan, ...
DAWAK
2001
Springer
14 years 6 days ago
Matchmaking for Structured Objects
A fundamental task in multi-agent systems is matchmaking, which is to retrieve and classify service descriptions of agents that (best) match a given service request. Several approa...
Thomas Eiter, Daniel Veit, Jörg P. Mülle...
GIS
2009
ACM
13 years 11 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
PPOPP
2010
ACM
14 years 5 months ago
Application heartbeats for software performance and health
Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approache...
Henry Hoffmann, Jonathan Eastep, Marco D. Santambr...
ICRA
2007
IEEE
143views Robotics» more  ICRA 2007»
14 years 2 months ago
Inverse Depth to Depth Conversion for Monocular SLAM
— Recently it has been shown that an inverse depth parametrization can improve the performance of real-time monocular EKF SLAM, permitting undelayed initialization of features at...
Javier Civera, Andrew J. Davison, J. M. M. Montiel