Tag: #ieee
Histogram Layers for Texture Analysis accepted to IEEE TAI, 2021!
December 24, 2021Congratulations to our labmates and collaborators: Joshua Peeples, Weihuang Xu, and Alina Zare! Their paper, “Histogram Layers for Texture Analysis”, was recently accepted to IEEE Transactions on Artificial Intelligence, 2021. In the paper, the authors present a localized histogram layer for artificial neural networks. Instead of computing global histograms as done previously, the proposed histogram […]
Read more: Histogram Layers for Texture Analysis accepted to IEEE TAI, 2021! »RANDCROWNS accepted to IEEE JSTARS, 2021!
November 19, 2021Congratulations to our labmates and collaborators: Dylan Stewart, Alina Zare, Sergio Marconi, Ben Weinstein, Ethan White, Sarah Grave, Stephanie Bohlman and Aditya Singh! Their paper, “RANDCROWNS: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation”, was recently accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. In the paper, […]
Read more: RANDCROWNS accepted to IEEE JSTARS, 2021! »