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» The Measurable Space of Stochastic Processes
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ADBIS
1998
Springer
100views Database» more  ADBIS 1998»
15 years 2 months ago
Multiple Range Query Optimization in Spatial Databases
In order to answer efficiently range queries in 2-d R-trees, first we sort queries by means of a space filling curve, then we group them together, and finally pass them for process...
Apostolos Papadopoulos, Yannis Manolopoulos
APGV
2005
ACM
146views Visualization» more  APGV 2005»
15 years 3 months ago
A similarity-based approach to perceptual feature validation
Which object properties matter most in human perception may well vary according to sensory modality, an important consideration for the design of multimodal interfaces. In this st...
Theresa Cooke, Florian Steinke, Christian Wallrave...
SIAMSC
2008
131views more  SIAMSC 2008»
14 years 9 months ago
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces
Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum...
Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Mar...
IAT
2005
IEEE
15 years 3 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
DATE
2010
IEEE
182views Hardware» more  DATE 2010»
15 years 3 months ago
DAGS: Distribution agnostic sequential Monte Carlo scheme for task execution time estimation
This paper addresses the problem of stochastic task execution time estimation agnostic to the process distributions. The proposed method is orthogonal to the application structure ...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel