Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling

Computer Vision for Biomedical Image Applications - Lecture Notes in Computer Science ◽

10.1007/11569541_43 ◽

2005 ◽

pp. 427-436 ◽

Cited By ~ 10

Author(s):

Charles Florin ◽

James Williams ◽

Ali Khamene ◽

Nikos Paragios

Keyword(s):

Monte Carlo ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

X Ray

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Bayesian Estimation via Sequential Monte Carlo Sampling: Unconstrained Nonlinear Dynamic Systems

Industrial & Engineering Chemistry Research ◽

10.1021/ie034010v ◽

2004 ◽

Vol 43 (14) ◽

pp. 4012-4025 ◽

Cited By ~ 57

Author(s):

Wen-shiang Chen ◽

Bhavik R. Bakshi ◽

Prem K. Goel ◽

Sridhar Ungarala

Keyword(s):

Monte Carlo ◽

Bayesian Estimation ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Nonlinear Dynamic Systems

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Sequential Monte Carlo Sampling for DSGE Models

10.3386/w19152 ◽

2013 ◽

Cited By ~ 11

Author(s):

Edward Herbst ◽

Frank Schorfheide

Keyword(s):

Monte Carlo ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Dsge Models

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Particle Swarm Optimization Based Optimal Reliability Design of Composite Electric Power System Using Non-sequential Monte Carlo Sampling and Generalized Regression Neural Network

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03753-0_52 ◽

2013 ◽

pp. 580-589

Author(s):

R. Ashok Bakkiyaraj ◽

Narayanan Kumarappan

Keyword(s):

Neural Network ◽

Monte Carlo ◽

Particle Swarm Optimization ◽

Electric Power ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Electric Power System ◽

Generalized Regression Neural Network ◽

Swarm Optimization ◽

Reliability Design

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Sequential Monte Carlo Sampling for State Space Models

Robustness in Econometrics - Studies in Computational Intelligence ◽

10.1007/978-3-319-50742-2_2 ◽

2017 ◽

pp. 25-50

Author(s):

Mario V. Wüthrich

Keyword(s):

Monte Carlo ◽

State Space ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

State Space Models

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On Sequential Monte Carlo Sampling of Discretely Observed Stochastic Differential Equations

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378811 ◽

2006 ◽

Cited By ~ 4

Author(s):

Simo Sarkka

Keyword(s):

Monte Carlo ◽

Differential Equations ◽

Stochastic Differential Equations ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling

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Advanced interacting sequential Monte Carlo sampling for inverse scattering

Inverse Problems ◽

10.1088/0266-5611/29/9/095014 ◽

2013 ◽

Vol 29 (9) ◽

pp. 095014 ◽

Cited By ~ 3

Author(s):

F Giraud ◽

P Minvielle ◽

P Del Moral

Keyword(s):

Monte Carlo ◽

Inverse Scattering ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling

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Accurate Loop Generation of Protein Structures using Distance-Guided Sequential Monte Carlo Sampling Method

Biophysical Journal ◽

10.1016/j.bpj.2009.12.2509 ◽

2010 ◽

Vol 98 (3) ◽

pp. 462a

Author(s):

Ke Tang ◽

Jinfeng Zhang ◽

Jian Zhang ◽

Jie Liang

Keyword(s):

Monte Carlo ◽

Sampling Method ◽

Sequential Monte Carlo ◽

Protein Structures ◽

Monte Carlo Sampling

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Bayesian Estimation by Sequential Monte Carlo Sampling: Application to High-Dimensional Nonlinear Dynamic Systems

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)31834-7 ◽

2004 ◽

Vol 37 (9) ◽

pp. 341-346 ◽

Cited By ~ 1

Author(s):

Wen-shiang Chen ◽

Bhavik R. Bakshi ◽

Prem K. Goel ◽

Sridhar Ungarala

Keyword(s):

Monte Carlo ◽

Bayesian Estimation ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Nonlinear Dynamic Systems ◽

High Dimensional

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Bayesian inversion and sequential Monte Carlo sampling techniques applied to nearfield acoustic sensor arrays

The Journal of the Acoustical Society of America ◽

10.1121/1.4899486 ◽

2014 ◽

Vol 136 (4) ◽

pp. 2084-2084

Author(s):

Mingsian R. Bai ◽

Amal Agarwal ◽

Ching-Cheng Chen ◽

Yen-Chih Wang

Keyword(s):

Monte Carlo ◽

Sequential Monte Carlo ◽

Sensor Arrays ◽

Monte Carlo Sampling ◽

Bayesian Inversion ◽

Sampling Techniques ◽

Acoustic Sensor

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Global Optimization for Stochastic Programming Via Sequential Monte Carlo Sampling

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865125 ◽

2019 ◽

Author(s):

Wei Ni

Keyword(s):

Monte Carlo ◽

Global Optimization ◽

Stochastic Programming ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling

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