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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 1 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CGF
2008
227views more  CGF 2008»
14 years 9 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...
WICSA
2008
14 years 11 months ago
uDesign: End-User Design Applied to Monitoring and Control Applications for Smart Spaces
This paper introduces an architectural style for enabling end-users to quickly design and deploy software systems in domains characterized by highly personalized and dynamic requi...
João Pedro Sousa, Bradley R. Schmerl, Vahe ...
ESOP
1999
Springer
15 years 1 months ago
Dynamic Programming via Static Incrementalization
Abstract. Dynamicprogramming is an importantalgorithm design technique. It is used for solving problems whose solutions involve recursively solving subproblems that share subsubpro...
Yanhong A. Liu, Scott D. Stoller
GW
2005
Springer
113views Biometrics» more  GW 2005»
15 years 3 months ago
Some Experiments in the Gestural Control of Synthesized Sonic Textures
Abstract. In this paper, we introduce some exploratory ideas and applications involving the gestural control of sonic textures. Three examples of how the gestural control of synthe...
Daniel Arfib, Jean-Michel Couturier, Jehan-Julien ...