Zobrazeno 1 - 10
of 2 217
pro vyhledávání: '"Jungo A"'
Publikováno v:
International Conference on Pattern Recognition - ICPR 2024, pp 152-166. Cham: Springer Nature Switzerland
Classifying scanned documents is a challenging problem that involves image, layout, and text analysis for document understanding. Nevertheless, for certain benchmark datasets, notably RVL-CDIP, the state of the art is closing in to near-perfect perfo
Externí odkaz:
http://arxiv.org/abs/2412.13859
Wearable devices continuously collect sensor data and use it to infer an individual's behavior, such as sleep, physical activity, and emotions. Despite the significant interest and advancements in this field, modeling multimodal sensor data in real-w
Externí odkaz:
http://arxiv.org/abs/2401.05437
Autor:
Jungo, Michael, Vögtlin, Lars, Fakhari, Atefeh, Wegmann, Nathan, Ingold, Rolf, Fischer, Andreas, Scius-Bertrand, Anna
Publikováno v:
SOICT 2023: The 12th International Symposium on Information and Communication Technology
Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage. Deep learning shows an impressive performance in solving this task. However, to achieve its full potential, it requires a
Externí odkaz:
http://arxiv.org/abs/2312.09037
Generative retrieval (Wang et al., 2022; Tay et al., 2022) is a popular approach for end-to-end document retrieval that directly generates document identifiers given an input query. We introduce summarization-based document IDs, in which each documen
Externí odkaz:
http://arxiv.org/abs/2311.08593
Autor:
Takeshi Sawada, Jungo Araki, Toshinari Yamashita, Manami Masubuchi, Tsuneko Chiyoda, Mayu Yunokawa, Kumiko Hoshi, Shoichi Tao, Shohei Yamamura, Shouki Yatsushiro, Kaori Abe, Masatoshi Kataoka, Tatsu Shimoyama, Yoshiharu Maeda, Katsumasa Kuroi, Kenji Tamura, Tsuneo Sawazumi, Hironobu Minami, Yoshihiko Suda, Fumiaki Koizumi
Publikováno v:
EBioMedicine, Vol 11, Iss C, Pp 173-182 (2016)
Various types of circulating tumor cell (CTC) detection systems have recently been developed that show a high CTC detection rate. However, it is a big challenge to find a system that can provide better prognostic value than CellSearch in head-to-head
Externí odkaz:
https://doaj.org/article/efcb3e16cf3848fbbc82c246f3751419
Large language models (LLMs) show remarkable capabilities across a variety of tasks. Despite the models only seeing text in training, several recent studies suggest that LLM representations implicitly capture aspects of the underlying grounded concep
Externí odkaz:
http://arxiv.org/abs/2310.14540
Publikováno v:
International Conference on Document Analysis and Recognition - ICDAR 2023, pp. 98-114. Cham: Springer Nature Switzerland
On-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions during the recognition process, it is typically insufficient to produce a p
Externí odkaz:
http://arxiv.org/abs/2309.03072
Publikováno v:
International Journal of Development Issues, 2024, Vol. 23, Issue 3, pp. 361-377.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJDI-09-2023-0233
Autor:
Nay, John J., Karamardian, David, Lawsky, Sarah B., Tao, Wenting, Bhat, Meghana, Jain, Raghav, Lee, Aaron Travis, Choi, Jonathan H., Kasai, Jungo
Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and leveraging LLMs to identify inconsistencies in law. This paper explore
Externí odkaz:
http://arxiv.org/abs/2306.07075
Autor:
Ahia, Orevaoghene, Kumar, Sachin, Gonen, Hila, Kasai, Jungo, Mortensen, David R., Smith, Noah A., Tsvetkov, Yulia
Language models have graduated from being research prototypes to commercialized products offered as web APIs, and recent works have highlighted the multilingual capabilities of these products. The API vendors charge their users based on usage, more s
Externí odkaz:
http://arxiv.org/abs/2305.13707