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A New Global Stochastic Search Approach for Inverse Problems: Application to Ultrasound Modulated Optical Tomography
inverse problems global stochastic search discretized Kushner-Stratonovich equation gain-based update ultrasound modulated optical tomography
2013/6/14
A global stochastic search method, which is strictly derivative-free yet directed through a gain-based additive update term, is proposed and applied to the inverse problem of ultrasound modulated opti...
In this letter we revisit the problem of optimal design of quantum tomographic experiments. In contrast to previous approaches where an optimal set of measurements is decided in advance and then kept ...
Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging
Tomography CT MRI PET SPECT US imaging optical imaging functional imaging
2011/7/6
Current tomographic imaging systems need major improvements, especially when multi-dimensional, multi-scale, multi-temporal and multi-parametric phenomena are under investigation.
Nonparametric goodness-of-fit testing in quantum homodyne tomography with noisy data
Density matrix Goodness-of fit test Minimax rates Nonparametric test Pattern Functions estimation Quantum homodyne tomography
2009/9/16
In the framework of quantum optics, we study the problem of goodness-of-fit testing in a severely ill-posed inverse problem. A novel testing procedure is introduced and its rates of convergence are in...
A State-Space Mixed Membership Block model for Dynamic Network Tomography
Dynamic network modeling Mixed membership stochasticblock models
2010/3/17
In a dynamic social or biological environment, the interactions
between the underlying actors can undergo large and systematic
changes. The latent roles or membership of the actors as determined
by...
Nonparametric goodness-of fit testing in quantum homodyne tomography with noisy data
Density matrix Goodness-of fit test Minimaxrates Nonparametric test Pattern Functions estimation Quantum homodynetomography
2010/4/30
In the framework of quantum optics, we study the problem of
goodness-of-fit testing in a severely ill-posed inverse problem. A novel testing
procedure is introduced and its rates of convergence are ...
Network tomography based on 1-D projections
network tomography one dimensional projection identifiability asymptotically efficient
2010/4/29
Network tomography has been regarded as one of the most promising
methodologies for performance evaluation and diagnosis of the massive and
decentralized Internet. This paper proposes a new estimati...