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IEEESCC
2010
IEEE
15 years 10 months ago
Dynamic Composition of Services in Sensor Networks
Abstract—Service modeling and composition is a fundamental method for offering advanced functionality by combining a set of primitive services provided by the system. Unlike in t...
Sahin Cem Geyik, Boleslaw K. Szymanski, Petros Zer...
IJON
2007
85views more  IJON 2007»
15 years 6 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
PE
2000
Springer
118views Optimization» more  PE 2000»
15 years 6 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
NPL
2002
110views more  NPL 2002»
15 years 6 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
COLING
2010
15 years 1 months ago
Automatic Temporal Expression Normalization with Reference Time Dynamic-Choosing
Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction,...
Xujian Zhao, Peiquan Jin, Lihua Yue