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نمایش تعداد 1-9 از 9

Fourier-Hermite Kalman Filter

نوع: Journal Paper

نویسنده : Sarmavuori, Juha; Sarkka, Simo

سال: 2012

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On convergence and accuracy of state-space approximations of squared exponential covariance functions

نوع: Conference Paper

نویسنده : Sarkka, Simo; Piche, Robert

ناشر: IEEE

سال: 2014

Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions

نوع: Conference Paper

نویسنده : Solin, Arno; Sarkka, Simo

ناشر: IEEE

سال: 2014

The 10th annual MLSP competition: First place

نوع: Conference Paper

نویسنده : Solin, Arno; Sarkka, Simo

ناشر: IEEE

سال: 2014

Weight moment conditions for L<sup>4</sup> convergence of particle filters for unbounded test functions

نوع: Conference Paper

نویسنده : Mbalawata, Isambi S.; Sarkka, Simo

ناشر: IEEE

سال: 2014

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

نوع: Journal Paper

نویسنده : Sarkka, Simo, Arno Solin, and Jouni Hartikainen.

ناشر: Institute of Electrical and Electronics Engineers (IEEE)

سال: 2013

Expectation maximization based parameter estimation by sigma-point and particle smoothing

نوع: Conference Paper

نویسنده : Kokkala, Juho , Solin, Arno , Sarkka, Simo

ناشر: IEEE

سال: 2014

RFID-based butterfly location sensing system

نوع: Conference Paper

نویسنده : Sarkka, Simo; Viikari, Ville; Jaakkola, Kaarle

ناشر: IEEE

سال: 2014

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

نوع: Journal Paper

نویسنده : Lyons, Simon M. J.; Sarkka, Simo; Storkey, Amos J.

ناشر: IEEE

سال: 2014

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Fourier-Hermite Kalman Filter

On convergence and accuracy of state-space approximations of squared exponential covariance functions

Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions

The 10th annual MLSP competition: First place

Weight moment conditions for L<sup>4</sup> convergence of particle filters for unbounded test functions

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Expectation maximization based parameter estimation by sigma-point and particle smoothing

RFID-based butterfly location sensing system

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

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Fourier-Hermite Kalman Filter

On convergence and accuracy of state-space approximations of squared exponential covariance functions

Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions

The 10th annual MLSP competition: First place

Weight moment conditions for L<sup>4</sup> convergence of particle filters for unbounded test functions

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Expectation maximization based parameter estimation by sigma-point and particle smoothing

RFID-based butterfly location sensing system

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes