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» Ontological Framework for Approximation
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SI3D
2005
ACM
15 years 11 months ago
Adaptive sampling of intersectable models exploiting image and object-space coherence
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
Anders Adamson, Marc Alexa, Andrew Nealen
130
Voted
DMSN
2004
ACM
15 years 10 months ago
Predictive filtering: a learning-based approach to data stream filtering
Recent years have witnessed an increasing interest in filtering of distributed data streams, such as those produced by networked sensors. The focus is to conserve bandwidth and se...
Vibhore Kumar, Brian F. Cooper, Shamkant B. Navath...
DATE
2002
IEEE
79views Hardware» more  DATE 2002»
15 years 10 months ago
Formulation of Low-Order Dominant Poles for Y-Matrix of Interconnects
This paper presents an efficient approach to compute the dominant poles for the reduced-order admittance (Y parameter) matrix of lossy interconnects. Using the global approximati...
Qinwei Xu, Pinaki Mazumder
181
Voted
ICML
1996
IEEE
15 years 9 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
DCOSS
2007
Springer
15 years 9 months ago
Efficient Computation of Minimum Exposure Paths in a Sensor Network Field
The exposure of a path p is a measure of the likelihood that an object traveling along p is detected by a network of sensors and it is formally defined as an integral over all poin...
Hristo Djidjev