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Dive into the research topics where Brian R. La Cour is active.

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Featured researches published by Brian R. La Cour.


Journal of the Acoustical Society of America | 2007

Ensemble‐based Bayesian detection and tracking

Brian R. La Cour

This paper introduces a novel approach to Bayesian tracking in which the posterior distribution is represented by a random sample or ensemble of possible target states. Such a representation may be viewed as a special case of the traditional particle filter approach wherein all particles maintain strictly uniform weights. Measurement updates are performed using a Markov chain Monte Carlo technique, which has been adapted to use multiple chains and a variable pseudo temperature akin to that used in simulated annealing. The general formalism is illustrated in an example of sonar‐based target tracking for antisubmarine warfare. For this example, specific motion models and likelihood functions are developed for both target and clutter hypotheses. The technique is examined in the context of results from a recent multistatic seatrial using an echo repeater target and compared against those of a traditional particle filter. [This work was supported by ONR Contract No. N00014‐00‐G‐0450‐21.]


Foundations of Physics | 2014

A Locally Deterministic, Detector-Based Model of Quantum Measurement

Brian R. La Cour

This paper describes a simple, causally deterministic model of quantum measurement based on an amplitude threshold detection scheme. Surprisingly, it is found to reproduce many phenomena normally thought to be uniquely quantum in nature. To model an


Data Mining | 2010

Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers

Alex X. Liu; Cheryl E. Martin; Brian R. La Cour; Joydeep Ghosh


International Journal of Quantum Information | 2016

Classical emulation of a quantum computer

Brian R. La Cour; Corey Ostrove; G. Ott; Michael Starkey; Gary Wilson

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New Journal of Physics | 2015

Signal-based classical emulation of a universal quantum computer

Brian R. La Cour; G. Ott


international conference on information fusion | 2010

Range-sensitive Bayesian passive sonar tracking

Brian A. Yocom; Jason Matthew Aughenbaugh; Brian R. La Cour

N-dimensional pure state, the model uses


Journal of Statistical Physics | 2002

Macroscopic Determinism in Interacting Systems Using Large Deviation Theory

Brian R. La Cour; William C. Schieve


Proceedings of SPIE | 2012

Computationally efficient Bayesian tracking

Jason Matthew Aughenbaugh; Brian R. La Cour

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IEEE Journal of Oceanic Engineering | 2010

Dynamic Modeling of Discrete Biologics for Active Sonar Simulation

Brian R. La Cour; John E. Hamann


Quantum Information Processing | 2017

Subspace projection method for unstructured searches with noisy quantum oracles using a signal-based quantum emulation device

Brian R. La Cour; Corey Ostrove

N complex random variables given by a scaled version of the wave vector with additive complex noise. Measurements are defined by threshold crossings of the individual components, conditioned on single-component threshold crossings. The resulting detection probabilities match or approximate those predicted by quantum mechanics according to the Born rule. Nevertheless, quantum phenomena such as entanglement, contextuality, and violations of Bell’s inequality under local measurements are all shown to be exhibited by the model, thereby demonstrating that such phenomena are not without classical analogs.

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G. Ott

University of Texas at Austin

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Corey Ostrove

University of Texas at Austin

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William C. Schieve

University of Texas at Austin

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Bryan A. Yocom

University of Texas at Austin

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James M. Gelb

University of Texas at Arlington

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John E. Hamann

University of Texas at Austin

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Michael Starkey

University of Texas at Austin

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S. Andrew Lanham

University of Texas at Austin

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Thomas W. Yudichak

University of Texas at Austin

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