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GMP
2006
IEEE
157views Solid Modeling» more  GMP 2006»
14 years 1 months ago
Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves
Abstract. Low-discrepancy point distributions exhibit excellent uniformity properties for sampling in applications such as rendering and measurement. We present an algorithm for ge...
J. A. Quinn, Frank C. Langbein, Ralph R. Martin, G...
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 7 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
SAC
2008
ACM
13 years 7 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
ICCV
2007
IEEE
14 years 9 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
TSE
2010
123views more  TSE 2010»
13 years 2 months ago
Directed Explicit State-Space Search in the Generation of Counterexamples for Stochastic Model Checking
Current stochastic model checkers do not make counterexamples for property violations readily available. In this paper we apply directed explicit state space search to discrete- a...
Husain Aljazzar, Stefan Leue