Machine Learning Systems
Photo of Brian D. Bue

Dr. Brian D. Bue

Mail Stop 158-242
4800 Oak Grove Drive
Pasadena, CA 91109

Office (JPL): 158-206A
Phone (JPL): (818) 354-2234
FAX (JPL): (818) 393-6141
Email: Brian.D.Bue (at) jpl.nasa.gov
Web page: http://disambiguate.info/ [External link]
Research interests Domain adaptation, metric learning, hyperspectral image classification and unmixing, semi-supervised learning, multi-task learning, dimensionality reduction and feature selection.

Selected Publications:

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Kiri L Wagstaff, Alphan Altinok, Brian Bue, Steve A Chien, Lukas Mandrake. Instrument Science Autonomy for Orbital and Flyby Planetary Missions. 3rd International Workshop on Instrumentation for Planetary Missions. (Link to publisher's site) (CL#16-4303)

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Thomas Fuchs, David R. Thompson, Brian Bue, Julie Castillo, Steve Chien, Dero Gharibian, and Kiri Wagstaff. Enhanced Flyby Science with Onboard Computer Vision: Tracking and Surface Feature Detection at Small Bodies. Earth and Space Science. (Link to publisher page) (CL#15-4985)

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Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, and Benyang Tang. Astronomical Data Triage for Rapid Science Return. Proceedings of the Big Data from Space Conference. (Link to PDF) (CL#14-4231)

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Kiri L. Wagstaff, David R. Thompson, Brian D. Bue, Thomas J. Fuchs. Autonomous Real-time Detection of Plumes and Jets from Moons and Comets. The Astrophysical Journal, 794(1). (Link to publisher's page) (CL#14-3527)

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Seungwon Lee and Lukas Mandrake and Benjamin J. Bornstein and Brian D. Bue. Quantification of Trace Chemicals Using the Vehicle Cabin Atmosphere Monitor. NASA Tech Briefs. (Link to PDF) (CL#14-2375)

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David R. Thompson, Benjamin J. Bornstein, Steve A. Chien, Steven Schaffer, Daniel Tran, Brian D. Bue, Rebecca Castaño, Damhnait F. Gleeson, Aaron Noell. Autonomous spectral discovery and mapping onboard the EO-1 spacecraft. IEEE Transactions on Geoscience and Remote Sensing, vol. 51 no. 6, 2013. (CL#12-5114)

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David R. Thompson, Benjamin Bornstein, Brian Bue, Daniel Tran, Steve Chien, Rebecca Castano. Hyperspectral Feature Detection Onboard the Earth Observing One Spacecraft using Superpixel Segmentation and Endmember Extraction. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin Italy, 2012. Download PDF (CL #12-2768)

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Brian Bue and David R. Thompson. Multiclass Continuous Correspondence Learning. NIPS workshop on Domain Adaptation. Download PDF (CL#11-5494)

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Benjamin Bornstein, David R. Thompson, Daniel Tran, Brian Bue, Steve Chien, Rebecca Castano. Efficient Spectral Endmember Detection Onboard the EO-1 Spacecraft. IEEE Workshop on Hyperspectral Imagery and Signal Processing: Evolutions in Remote Sensing. Download PDF (CL#11-1486)

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Brian Bue and David R. Thompson and Martha Gilmore and Rebecca Castano. Metric Learning for Hyperspectral Image Segmentation. IEEE Workshop on Hyperspectral Imagery and Signal Processing: Evolutions in Remote Sensing. Download PDF (CL#11-1494)

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Lukas Mandrake, Seungwon Lee, Benjamin Bornstein, Brian Bue. Adapting AMDIS for Autonomous Spectral Identification of Hazardous Compounds for ISS Monitoring. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #08-4703)

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Seungwon Lee, Lukas Mandrake, Benjamin Bornstein, Brian Bue. Quantification of Trace Chemicals using Vehicle Cabin Atmosphere Monitor. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #09-1960)

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Benjamin Bornstein, Seungwon Lee, Luke Mandrake, Brian Bue. Autonomous Identification and Quantification of Chemical Species with VCAM for use Onboard the ISS. IEEE Aerospace Big Sky March 2008. Download PDF ()

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Rebecca Castano, Kiri Wagstaff, Damhnait Gleeson, Robert Pappalardo, Steve Chien, Daniel Tran, Lucas Scharenbroich, Baback Moghaddam, Benyang Tang, Brian Bue, Thomas Doggett, Dan Mandl, Stuart Frye. Onboard Detection of Active Canadian Sulfur Springs: A Europa Analogue. Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics, and Automation in Space, February 2008. Download PDF (CL #07-4419)

T Stepinski, M Mendenhall, B Bue. Robust Automated Identification of Martian Impact Craters. 38th Annual Lunar and Planetary Science Conference.

B Bue, TF Stepinski. Machine detection of martian impact craters from digital topography data. IEEE Transactions on Geoscience and Remote Sensing.

B Bue, T Stepinski. Automated classification of landforms on Mars. Computers and Geosciences.

B Bue, T Stepinski. Machine Detection of Martian Craters from Digital Topography. 37th Annual Lunar and Planetary Science Conference.

B Bue, T Stepinski. Automated Classification of Landforms in Terra Cimmeria, Mars. 36th Annual Lunar and Planetary Science Conference.