MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

Autor: Quesada, Jorge, Sathidevi, Lakshmi, Liu, Ran, Ahad, Nauman, Jackson, Joy M., Azabou, Mehdi, Xiao, Jingyun, Liding, Christopher, Jin, Matthew, Urzay, Carolina, Gray-Roncal, William, Johnson, Erik C., Dyer, Eva L.

There are multiple scales of abstraction from which we can describe the same image, depending on whether we are focusing on fine-grained details or a more global attribute of the image. In brain mapping, learning to automatically parse images to buil

Externí odkaz: http://arxiv.org/abs/2301.00345

Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of Abstraction

Autor: Klamt, Tobias, Behnke, Sven

Navigating in search and rescue environments is challenging, since a variety of terrains has to be considered. Hybrid driving-stepping locomotion, as provided by our robot Momaro, is a promising approach. Similar to other locomotion methods, it incor

Externí odkaz: http://arxiv.org/abs/1809.07058

On the necessity of integrating multiple levels of abstraction in a single computational framework

Autor: van Rijn, Hedderik, Borst, Jelmer, Taatgen, Niels, van Maanen, Leendert

Publikováno v: In Current Opinion in Behavioral Sciences October 2016 11:116-120

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

Autor: Quesada, Jorge, Sathidevi, Lakshmi, Liu, Ran, Ahad, Nauman, Jackson, Joy M., Azabou, Mehdi, Xiao, Jingyun, Liding, Christopher, Jin, Matthew, Urzay, Carolina, Gray-Roncal, William, Johnson, Erik C., Dyer, Eva L.

There are multiple scales of abstraction from which we can describe the same image, depending on whether we are focusing on fine-grained details or a more global attribute of the image. In brain mapping, learning to automatically parse images to buil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38bda0f8c543ae2a9474a41b2039397

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.

Autor: Quesada J; Georgia Institute of Technology., Sathidevi L; Georgia Institute of Technology., Liu R; Georgia Institute of Technology., Ahad N; Georgia Institute of Technology., Jackson JM; Georgia Institute of Technology., Azabou M; Georgia Institute of Technology., Xiao J; Georgia Institute of Technology., Liding C; Georgia Institute of Technology., Jin M; Georgia Institute of Technology., Urzay C; Georgia Institute of Technology., Gray-Roncal W; Johns Hopkins University Applied Physics Laboratory., Johnson EC; Johns Hopkins University Applied Physics Laboratory., Dyer EL; Georgia Institute of Technology.

Publikováno v: Advances in neural information processing systems [Adv Neural Inf Process Syst] 2022; Vol. 35, pp. 5299-5314.