Results 11 to 20 of about 2,103,105 (303)
Bayesian Quantum Amplitude Estimation [PDF]
QuantumWe present BAE, a problem-tailored and noise-aware Bayesian algorithm for quantum amplitude estimation. In a fault tolerant scenario, BAE is capable of saturating the Heisenberg limit; if device noise is present, BAE can dynamically characterize it and ...
Alexandra Ramôa, Luis Paulo Santos
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Bayesian estimation of a subspace [PDF]
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011 We consider the problem of subspace estimation in a Bayesian setting. First, we revisit the conventional minimum mean square error (MSE) estimator and explain why the MSE criterion may not be fully suitable when operating in the Grassmann manifold. As an alternative, we propose to carry out subspace estimation by minimizing the mean square distance ...
Olivier Besson +2 more
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Bayesian Estimation of Turbulent Motion [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 Based on physical laws describing the multiscale structure of turbulent flows, this paper proposes a regularizer for fluid motion estimation from an image sequence. Regularization is achieved by imposing some scale invariance property between histograms of motion increments computed at different scales.
Patrick Héas +4 more
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SAGE Open, 2023 Studies on the going-on COVID-19 pandemic face small sample issues. In this context, Bayesian estimation is considered a viable alternative to frequentist estimation.
Nguyen Ngoc Thach
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Bayesian Estimation With Distance Bounds [PDF]
IEEE Signal Processing Letters, 2012 We consider the problem of estimating a random state vector when there is information about the maximum distances between its subvectors. The estimation problem is posed in a Bayesian framework in which the minimum mean square error (MMSE) estimate of the state is given by the conditional mean.
Dave Zachariah +3 more
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Accelerated Life Test Method for the Doubly Truncated Burr Type XII Distribution
Mathematics, 2020 The Burr type XII (BurrXII) distribution is very flexible for modeling and has earned much attention in the past few decades. In this study, the maximum likelihood estimation method and two Bayesian estimation procedures are investigated based on ...
Hua Xin +3 more
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Pharmacology Research & Perspectives, 2022 The most recent consensus guidelines for dosing and monitoring vancomycin recommended the use of area‐under‐the‐curve with Bayesian estimation for therapeutic monitoring.
Ashley Chen +3 more
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Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data. [PDF]
PLoS ONE, 2016 On urban arterials, travel time estimation is challenging especially from various data sources. Typically, fusing loop detector data and probe vehicle data to estimate travel time is a troublesome issue while considering the data issue of uncertain ...
Kai Liu +3 more
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Bayesian nonparametric subspace estimation [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 Principal component analysis is a widely used technique to perform dimension reduction. However, selecting a finite number of significant components is essential and remains a crucial issue. Only few attempts have proposed a probabilistic approach to adaptively select this number. This paper introduces a Bayesian nonparametric model to jointly estimate
Elvira, Clément +2 more
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Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
The Journal of Engineering, 2019 Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
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