Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nikolay Malkin"'
Autor:
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1643-1655 (2022)
We present here the scientific outcomes of the 2021 Data Fusion Contest (DFC2021) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. DFC2021 was dedicated to research on geospatial a
Externí odkaz:
https://doaj.org/article/b9d2f391bf1540638ea6087341fd972f
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291169 (2023)
Campaign contributions are a staple of congressional life. Yet, the search for tangible effects of congressional donations often focuses on the association between contributions and votes on congressional bills. We present an alternative approach by
Externí odkaz:
https://doaj.org/article/d1c7ddc476d4479a9c3714b91084233f
Publikováno v:
IGARSS
Modern deep learning-based semantic segmentation models and traditional pattern matching segmentation methods demonstrate similar failure modes in mapping land cover from diverse satellite/aerial imagery. The key problem is that these models mostly r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bcda9d2a17feaa8138c90d0afa6573f
https://doi.org/10.1109/igarss47720.2021.9554869
https://doi.org/10.1109/igarss47720.2021.9554869
As neural language models approach human performance on NLP benchmark tasks, their advances are widely seen as evidence of an increasingly complex understanding of syntax. This view rests upon a hypothesis that has not yet been empirically tested: th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b592845c866489dc37c2fbb9ca687f
Publikováno v:
NAACL-HLT
Human innovation in language, such as inventing new words, is a challenge for pretrained language models. We assess the ability of one large model, GPT-3, to process new words and decide on their meaning. We create a set of nonce words and prompt GPT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6245e06eb7b8a28971ecba60eb357068
https://doi.org/10.18653/v1/2021.naacl-main.439
https://doi.org/10.18653/v1/2021.naacl-main.439