Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Erik Learned-Miller"'
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126200 (2015)
Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. Since text is a rich source of information in figures, automatically extracting such text may assist in the task of minin
Externí odkaz:
https://doaj.org/article/4fca0a31e27e4cba90703ea8e6e20094
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::036018c7a4ebaf09e61ba1d46f5b4c3c
https://doi.org/10.1016/j.neunet.2023.01.007
https://doi.org/10.1016/j.neunet.2023.01.007
Autor:
Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik Learned-Miller, Deniz Erdoğmuş
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::563c2ae6cc3028cae101498d0bdea0fb
https://doi.org/10.1109/icassp49357.2023.10094998
https://doi.org/10.1109/icassp49357.2023.10094998
Publikováno v:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
In this work, we address multi-modal information needs that contain text questions and images by focusing on passage retrieval for outside-knowledge visual question answering. This task requires access to outside knowledge, which in our case we defin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ed828cd602cf61f40efb06048dc52fc
https://doi.org/10.1145/3404835.3462987
https://doi.org/10.1145/3404835.3462987
Event cameras, inspired by biological vision systems, provide a natural and data efficient representation of visual information. Visual information is acquired in the form of events that are triggered by local brightness changes. Each pixel location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c3c61a46039bf2216dbbd5bf97f1432
http://arxiv.org/abs/2106.06887
http://arxiv.org/abs/2106.06887
Publikováno v:
IEEE Transactions on Mobile Computing. 18:1407-1418
Users can attempt to thwart third-party services from discovering their location by disabling location services on their mobile device. In this paper, we show that web services can use throughput information to reveal the path taken by the phone and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88c82f691bb3d2ef52ca55266f4a680f
https://doi.org/10.1109/tmc.2018.2857777
https://doi.org/10.1109/tmc.2018.2857777
Publikováno v:
MobiCom
Inexpensive and highly capable unmanned aerial vehicles (aka drones) have enabled people to contribute high-quality videos at a global scale. However, a key challenge exists for accepting videos from untrusted sources: establishing when a particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e64455fb6d643ef9c0b69eae04123196
https://doi.org/10.1145/3372224.3419196
https://doi.org/10.1145/3372224.3419196
Publikováno v:
CVPR Workshops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6593ea17e168ec5ce173c8cb11c7e01
https://doi.org/10.1109/cvprw50498.2020.00471
https://doi.org/10.1109/cvprw50498.2020.00471
Publikováno v:
CVPR
Popularized as `bottom-up' attention, bounding box (or region) based visual features have recently surpassed vanilla grid-based convolutional features as the de facto standard for vision and language tasks like visual question answering (VQA). Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0546339f2c297f57c2a00c0f118606
https://doi.org/10.1109/cvpr42600.2020.01028
https://doi.org/10.1109/cvpr42600.2020.01028
Autor:
Tina Kapur, Erik Learned-Miller, William M. Wells, Lauren J. O'Donnell, Alireza Sedghi, Parvin Mousavi
Publikováno v:
Med Image Anal
In this work, we propose a theoretical framework based on maximum profile likelihood for pairwise and groupwise registration. By an asymptotic analysis, we demonstrate that maximum profile likelihood registration minimizes an upper bound on the joint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d28aee7da25843ee8e9ea8a0c223b32
https://pubmed.ncbi.nlm.nih.gov/33388458
https://pubmed.ncbi.nlm.nih.gov/33388458