Zobrazeno 1 - 10
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pro vyhledávání: '"Lv, Kexin"'
Out-of-Distribution (OoD) detection is vital for the reliability of Deep Neural Networks (DNNs). Existing works have shown the insufficiency of Principal Component Analysis (PCA) straightforwardly applied on the features of DNNs in detecting OoD data
Externí odkaz:
http://arxiv.org/abs/2402.02949
Autor:
Xu, Xiaoxu, Sun, Yuxin, Lv, Kexin, Liu, Yao, Chen, Zhangpei, Ouyang, Yifan, Hu, Jianshe, Chen, Qifan
Publikováno v:
In Surfaces and Interfaces August 2024 51
Publikováno v:
In Signal Processing March 2024 216
Autor:
Wang, Yanqun, Zhang, Zhaoyong, Yang, Minnan, Xiong, Xinyi, Yan, Qihong, Cao, Lei, Wei, Peilan, Zhang, Yuting, Zhang, Lu, Lv, Kexin, Chen, Jiantao, Liu, Xuesong, Zhao, Xiaochu, Xiao, Juxue, Zhang, Shengnan, Zhu, Airu, Gan, Mian, Zhang, Jingjun, Cai, Ruoxi, Zhuo, Jianfen, Zhang, Yanjun, Rao, Haiyue, Qu, Bin, Zhang, Yuanyuan, Chen, Lei, Dai, Jun, Cheng, Linling, Hu, Qingtao, Chen, Yaoqing, Lv, Huibin, So, Ray T.Y., Peiris, Malik, Zhao, Jingxian, Liu, Xiaoqing, Mok, Chris Ka Pun, Wang, Xiangxi, Zhao, Jincun
Publikováno v:
In Cell Reports 23 January 2024 43(1)
Nowadays, more and more datasets are stored in a distributed way for the sake of memory storage or data privacy. The generalized eigenvalue problem (GEP) plays a vital role in a large family of high-dimensional statistical models. However, the existi
Externí odkaz:
http://arxiv.org/abs/2010.11625
This letter proposes a one-shot algorithm for feature-distributed kernel PCA. Our algorithm is inspired by the dual relationship between sample-distributed and feature-distributed scenario. This interesting relationship makes it possible to establish
Externí odkaz:
http://arxiv.org/abs/2005.02664
Sparse canonical correlation analysis (CCA) is a useful statistical tool to detect latent information with sparse structures. However, sparse CCA works only for two datasets, i.e., there are only two views or two distinct objects. To overcome this li
Externí odkaz:
http://arxiv.org/abs/2004.10981
Akademický článek
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Publikováno v:
In Ceramics International 1 September 2023 49(17) Part A:27699-27706
Publikováno v:
In Process Safety and Environmental Protection January 2023 169:629-635