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SIGGRAPH
1994
ACM
13 years 11 months ago
Using particles to sample and control implicit surfaces
We present a new particle-based approach to sampling and controlling implicit surfaces. A simple constraint locks a set of particles onto a surface while the particles and the sur...
Andrew P. Witkin, Paul S. Heckbert
SIGCOMM
2000
ACM
13 years 11 months ago
Trajectory sampling for direct traffic observation
Traffic measurement is a critical component for the control and engineering of communication networks. We argue that traffic measurement should make it possible to obtain the spati...
Nick G. Duffield, Matthias Grossglauser
IJAR
2007
55views more  IJAR 2007»
13 years 7 months ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
ICANN
2010
Springer
13 years 8 months ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
14 years 1 months ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...