Zobrazeno 1 - 10
of 4 890
pro vyhledávání: '"Stewart, A. V."'
Autor:
Otarashvili, Lasha, Subramanian, Tamilselvan, Holmberg, Jason, Levenson, J. J., Stewart, Charles V.
Recent work has established the ecological importance of developing algorithms for identifying animals individually from images. Typically, a separate algorithm is trained for each species, a natural step but one that creates significant barriers to
Externí odkaz:
http://arxiv.org/abs/2412.05602
Autor:
Sundaresan, Avirath, Parham, Jason R., Crall, Jonathan, Warungu, Rosemary, Muthami, Timothy, Mwangi, Margaret, Miliko, Jackson, Holmberg, Jason, Berger-Wolf, Tanya Y., Rubenstein, Daniel, Stewart, Charles V., Beery, Sara
In both 2016 and 2018, a census of the highly-endangered Grevy's zebra population was enabled by the Great Grevy's Rally (GGR), a citizen science event that produces population estimates via expert and algorithmic curation of volunteer-captured image
Externí odkaz:
http://arxiv.org/abs/2412.00290
Autor:
Kline, Jenna M., Kholiavchenko, Maksim, Brookes, Otto, Berger-Wolf, Tanya, Stewart, Charles V., Stewart, Christopher
In situ imageomics leverages machine learning techniques to infer biological traits from images collected in the field, or in situ, to study individuals organisms, groups of wildlife, and whole ecosystems. Such datasets provide real-time social and e
Externí odkaz:
http://arxiv.org/abs/2407.16864
Autor:
Algasov, Aleksandr, Nepovinnykh, Ekaterina, Eerola, Tuomas, Kälviäinen, Heikki, Stewart, Charles V., Otarashvili, Lasha, Holmberg, Jason A.
Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen science projects. Existing methods leverage distinct and permanent visual
Externí odkaz:
http://arxiv.org/abs/2405.15976
Publikováno v:
The American Journal of International Law, 1914 Jan 01. 8(1), 158-168.
Externí odkaz:
https://www.jstor.org/stable/2187260
Publikováno v:
The American Law Register (1852-1891), 1884 Feb 01. 32(2), 137-143.
Externí odkaz:
https://www.jstor.org/stable/3305052
Autor:
Immonen, Veikka, Nepovinnykh, Ekaterina, Eerola, Tuomas, Stewart, Charles V., Kälviäinen, Heikki
Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes collected using camera traps and crowdsourcing, opens novel possibilities
Externí odkaz:
http://arxiv.org/abs/2308.06335
Autor:
Elhamod, Mohannad, Khurana, Mridul, Manogaran, Harish Babu, Uyeda, Josef C., Balk, Meghan A., Dahdul, Wasila, Bakış, Yasin, Bart Jr., Henry L., Mabee, Paula M., Lapp, Hilmar, Balhoff, James P., Charpentier, Caleb, Carlyn, David, Chao, Wei-Lun, Stewart, Charles V., Rubenstein, Daniel I., Berger-Wolf, Tanya, Karpatne, Anuj
Discovering evolutionary traits that are heritable across species on the tree of life (also referred to as a phylogenetic tree) is of great interest to biologists to understand how organisms diversify and evolve. However, the measurement of traits is
Externí odkaz:
http://arxiv.org/abs/2306.03228
Autor:
Tuia, Devis, Kellenberger, Benjamin, Beery, Sara, Costelloe, Blair R., Zuffi, Silvia, Risse, Benjamin, Mathis, Alexander, Mathis, Mackenzie W., van Langevelde, Frank, Burghardt, Tilo, Kays, Roland, Klinck, Holger, Wikelski, Martin, Couzin, Iain D., van Horn, Grant, Crofoot, Margaret C., Stewart, Charles V., Berger-Wolf, Tanya
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices. These new technologies and the data they generate hold great potent
Externí odkaz:
http://arxiv.org/abs/2110.12951