Zobrazeno 1 - 10
of 617
pro vyhledávání: '"Small Christopher"'
Autor:
Goldberg, Beth, Acosta-Navas, Diana, Bakker, Michiel, Beacock, Ian, Botvinick, Matt, Buch, Prateek, DiResta, Renée, Donthi, Nandika, Fast, Nathanael, Iyer, Ravi, Jalan, Zaria, Konya, Andrew, Danciu, Grace Kwak, Landemore, Hélène, Marwick, Alice, Miller, Carl, Ovadya, Aviv, Saltz, Emily, Schirch, Lisa, Shalom, Dalit, Siddarth, Divya, Sieker, Felix, Small, Christopher, Stray, Jonathan, Tang, Audrey, Tessler, Michael Henry, Zhang, Amy
Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift tow
Externí odkaz:
http://arxiv.org/abs/2412.09988
Autor:
Small, Christopher, Sousa, Daniel
Due to their transient nature, clouds represent anomalies relative to the underlying landscape of interest. Hence, the challenge of cloud identification can be considered a specific case in the more general problem of anomaly detection. The confoundi
Externí odkaz:
http://arxiv.org/abs/2401.06225
Autor:
Small, Christopher, Sousa, Daniel
Characterization of topology and dimensionality of spectral feature spaces provides insight into information content. The objective of this study is to characterize topology and spectral dimensionality of spectral mixing spaces representing a diversi
Externí odkaz:
http://arxiv.org/abs/2307.04716
Autor:
Small, Christopher T., Vendrov, Ivan, Durmus, Esin, Homaei, Hadjar, Barry, Elizabeth, Cornebise, Julien, Suzman, Ted, Ganguli, Deep, Megill, Colin
Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with applying Large Language Models (LLMs) towards challenges with facilitating, moderating a
Externí odkaz:
http://arxiv.org/abs/2306.11932
Autor:
Sousa, Daniel, Small, Christopher
NASA's Earth Surface Mineral Dust Source Investigation (EMIT) mission seeks to use spaceborne imaging spectroscopy (hyperspectral imaging) to map the mineralogy of arid dust source regions. Here we apply recent developments in Joint Characterization
Externí odkaz:
http://arxiv.org/abs/2303.04876
Autor:
Small, Christopher1 (AUTHOR) csmall@columbia.edu, Sousa, Daniel2 (AUTHOR) dan.sousa@sdsu.edu
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3768. 24p.
Systems for large scale deliberation have resolved polarized issues and shifted agenda setting into the public's hands. These systems integrate bridging-based ranking algorithms - including group informed consensus implemented in Polis and the contin
Externí odkaz:
http://arxiv.org/abs/2211.12571
Autor:
Sousa, Daniel, Small, Christopher
For decades, agronomists have used remote sensing to monitor key crop parameters like biomass, fractional cover, and plant health. Vegetation indices (VIs) are popular for this purpose, primarily leveraging the spectral red edge in multispectral imag
Externí odkaz:
http://arxiv.org/abs/2208.06480
Autor:
Small, Christopher
NASA's Gateway to Astronaut Photography of Earth Contains over 30000 photos of 2500 cataloged urban lightscapes (urban night lights) taken from the International Space Station. Over 100 of these multispectral DSLR photos are of sufficient spatial res
Externí odkaz:
http://arxiv.org/abs/2208.06441