Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Wagstaff, Kiri L."'
Seasonal frosting and defrosting on the surface of Mars is hypothesized to drive both climate processes and the formation and evolution of geomorphological features such as gullies. Past studies have focused on manually analyzing the behavior of the
Externí odkaz:
http://arxiv.org/abs/2403.12080
The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions. The ever-expanding nature of data and user engagement demands an interpretable content classification system to supp
Externí odkaz:
http://arxiv.org/abs/2402.16860
The cosmic microwave background (CMB) is a significant source of knowledge about the origin and evolution of our universe. However, observations of the CMB are contaminated by foreground emissions, obscuring the CMB signal and reducing its efficacy i
Externí odkaz:
http://arxiv.org/abs/2302.12378
Autor:
Wagstaff, Kiri L., Daubar, Ingrid J., Doran, Gary, Munje, Michael J., Bickel, Valentin T., Gao, Annabelle, Pate, Joe, Wexler, Daniel
Publikováno v:
Icarus, vol. 386 (2022)
The current inventory of recent (fresh) impacts on Mars shows a strong bias towards areas of low thermal inertia. These areas are generally visually bright, and impacts create dark scours and rays that make them easier to detect. It is expected that
Externí odkaz:
http://arxiv.org/abs/2207.05679
Publikováno v:
Transactions on Machine Learning Research, January 2023
Trustworthy classifiers are essential to the adoption of machine learning predictions in many real-world settings. The predicted probability of possible outcomes can inform high-stakes decision making, particularly when assessing the expected value o
Externí odkaz:
http://arxiv.org/abs/2202.01840
Autor:
Horton, Paul, Kerner, Hannah R., Jacob, Samantha, Cisneros, Ernest, Wagstaff, Kiri L., Bell, James
While innovations in scientific instrumentation have pushed the boundaries of Mars rover mission capabilities, the increase in data complexity has pressured Mars Science Laboratory (MSL) and future Mars rover operations staff to quickly analyze compl
Externí odkaz:
http://arxiv.org/abs/2103.12815
Autor:
Lee, Jake H., Wagstaff, Kiri L.
Publikováno v:
Data Mining and Knowledge Discovery, vol. 34, pp. 1777-1804, 2020
The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers that deviate from those trends. We focus on the goal of detecting obser
Externí odkaz:
http://arxiv.org/abs/1908.05006
Autor:
Wagstaff, Kiri L., Lee, Jake
Automated detection of new, interesting, unusual, or anomalous images within large data sets has great value for applications from surveillance (e.g., airport security) to science (observations that don't fit a given theory can lead to new discoverie
Externí odkaz:
http://arxiv.org/abs/1806.08340
Autor:
Daigavane, Ameya, Wagstaff, Kiri L., Doran, Gary, Cochrane, Corey J., Jackman, Caitriona M., Rymer, Abigail
Publikováno v:
In Computers and Geosciences April 2022 161
Autor:
Wagstaff, Kiri L., Tang, Benyang, Thompson, David R., Khudikyan, Shakeh, Wyngaard, Jane, Deller, Adam T., Palaniswamy, Divya, Tingay, Steven J., Wayth, Randall B.
Time domain radio astronomy observing campaigns frequently generate large volumes of data. Our goal is to develop automated methods that can identify events of interest buried within the larger data stream. The V-FASTR fast transient system was desig
Externí odkaz:
http://arxiv.org/abs/1606.08605