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pro vyhledávání: '"Hong, Feng"'
The remarkable success of modern machine learning models on large datasets often demands extensive training time and resource consumption. To save cost, a prevalent research line, known as online batch selection, explores selecting informative subset
Externí odkaz:
http://arxiv.org/abs/2406.04872
Autor:
Du, Xiaoyang, Hong, Feng
Target identification of ship-radiated noise is a crucial area in underwater target recognition. However, there is currently a lack of multi-target ship datasets that accurately represent real-world underwater acoustic conditions. To tackle this issu
Externí odkaz:
http://arxiv.org/abs/2406.04354
Autor:
Du, Xiaoyang, Hong, Feng
Target identification of ship-radiated noise is a crucial area in underwater target recognition. However, there is currently a lack of multi-target ship datasets that accurately represent real-world underwater acoustic conditions. To ntackle this iss
Externí odkaz:
http://arxiv.org/abs/2406.04353
The Chinese numerical string corpus, serves as a valuable resource for speaker verification, particularly in financial transactions. Researches indicate that in short speech scenarios, text-dependent speaker verification (TD-SV) consistently outperfo
Externí odkaz:
http://arxiv.org/abs/2405.07029
Autor:
Kobayashi, Takumi, Akamatsu, Daisuke, Hosaka, Kazumoto, Hisai, Yusuke, Nishiyama, Akiko, Kawasaki, Akio, Wada, Masato, Inaba, Hajime, Tanabe, Takehiko, Hong, Feng-Lei, Yasuda, Masami
We report on a reduced time variation of a time scale with respect to Coordinated Universal Time (UTC) by steering a hydrogen-maser-based time scale with a near-continuously operating optical lattice clock. The time scale is generated in a post-proce
Externí odkaz:
http://arxiv.org/abs/2404.11062
Vision-Language Pre-training (VLP) that utilizes the multi-modal information to promote the training efficiency and effectiveness, has achieved great success in vision recognition of natural domains and shown promise in medical imaging diagnosis for
Externí odkaz:
http://arxiv.org/abs/2312.11038
A text-dependent speaker verification application framework based on Chinese numerical string corpus
Researches indicate that text-dependent speaker verification (TD-SV) often outperforms text-independent verification (TI-SV) in short speech scenarios. However, collecting large-scale fixed text speech data is challenging, and as speech length increa
Externí odkaz:
http://arxiv.org/abs/2312.01645
Autor:
Zhang, Jian-Chen, Hu, Yu, Jiao, Kang, Wang, Hong-Feng, Xie, Yuan-Bo, Yu, Bo, Zhao, Li-Li, Zhang, Tong-Jie
Publikováno v:
ApJS,270:23(10pp),2024
Accurately measuring the Hubble parameter is vital for understanding the expansion history and properties of the universe. In this paper, we propose a new method that supplements the covariance between redshift pairs to improve the reconstruction of
Externí odkaz:
http://arxiv.org/abs/2311.13938
Self-supervised learning (SSL) as an effective paradigm of representation learning has achieved tremendous success on various curated datasets in diverse scenarios. Nevertheless, when facing the long-tailed distribution in real-world applications, it
Externí odkaz:
http://arxiv.org/abs/2310.17622
Autor:
Holste, Gregory, Zhou, Yiliang, Wang, Song, Jaiswal, Ajay, Lin, Mingquan, Zhuge, Sherry, Yang, Yuzhe, Kim, Dongkyun, Nguyen-Mau, Trong-Hieu, Tran, Minh-Triet, Jeong, Jaehyup, Park, Wongi, Ryu, Jongbin, Hong, Feng, Verma, Arsh, Yamagishi, Yosuke, Kim, Changhyun, Seo, Hyeryeong, Kang, Myungjoo, Celi, Leo Anthony, Lu, Zhiyong, Summers, Ronald M., Shih, George, Wang, Zhangyang, Peng, Yifan
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a long
Externí odkaz:
http://arxiv.org/abs/2310.16112