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10/04/2022
Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis
We consider probabilistic time-series models for systems that gradually ...
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05/31/2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
We pursue tractable Bayesian analysis of generalized linear models (GLMs...
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10/13/2021
Dynamical Wasserstein Barycenters for Time-series Modeling
Many time series can be modeled as a sequence of segments representing h...
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01/24/2021
A novel reconstruction technique for two-dimensional Bragg scatter imaging
Here we introduce a new reconstruction technique for two-dimensional Bra...
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06/09/2020
On Matched Filtering for Statistical Change Point Detection
Non-parametric and distribution-free two-sample tests have been the foun...
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12/30/2019
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
We present a new inner-outer iterative algorithm for edge enhancement in...
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11/04/2019
Optimal Transport Based Change Point Detection and Time Series Segment Clustering
Two common problems in time series analysis are the decomposition of the...
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09/22/2017
Ensemble Multi-task Gaussian Process Regression with Multiple Latent Processes
Multi-task/Multi-output learning seeks to exploit correlation among task...
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07/05/2017
On the Fusion of Compton Scatter and Attenuation Data for Limited-view X-ray Tomographic Applications
In this paper we demonstrate the utility of fusing energy-resolved obser...
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07/19/2013
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography
The development of energy selective, photon counting X-ray detectors all...
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03/29/2011
A Parametric Level Set Approach to Simultaneous Object Identification and Background Reconstruction for Dual Energy Computed Tomography
Dual energy computerized tomography has gained great interest because of...
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03/16/2011