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Robust and Trend Following Student's t Kalman Smoothers
Robust and Trend Following Student's t Kalman Smoothers
2013/5/2
We present a Kalman smoothing framework based on modeling errors using the heavy tailed Student's t distribution, along with algorithms, convergence theory, open-source general implementation, and sev...
Robust nonparametric detection of objects in noisy images
Image analysis signal detection image recon-struction percolation noisy image nonparametric noise robust testing nite sample performance
2011/3/24
We propose a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory and random graph theory. We present an algorithm that...
Making Tensor Factorizations Robust to Non-Gaussian Noise
Making Tensor Factorizations Robust Non-Gaussian Noise
2010/10/19
Tensors are multi-way arrays, and the Candecomp/Parafac (CP) tensor factorization has found application in many different domains. The CP model is typically fit using a least squares objective functio...