1 code implementation • 2 Aug 2023 • Qingsong Xu, Yilei Shi, Jianhua Guo, Chaojun Ouyang, Xiao Xiang Zhu
Specifically, a transformer-driven image translation composed of a light-weight transformer and a domain-specific affinity weight is first proposed to mitigate domain shift between two images with real-time efficiency.
no code implementations • 15 Dec 2020 • Jianwei Hu, Jingfei Zhang, Ji Zhu, Jianhua Guo
Firstly, for fixed $p$, we propose a generalized estimation criterion that can consistently estimate, $k$, the number of spiked eigenvalues.
Statistics Theory Methodology Statistics Theory
1 code implementation • 1 Nov 2020 • Jiangzhou Wang, Jingfei Zhang, Binghui Liu, Ji Zhu, Jianhua Guo
In this article, we propose a novel likelihood based approach that decouples row and column labels in the likelihood function, which enables a fast alternating maximization; the new method is computationally efficient, performs well for both small and large scale networks, and has provable convergence guarantee.
no code implementations • 2 Nov 2019 • Bin Wang, Xiaofei Wang, Jianhua Guo
Many traditional signal recovery approaches can behave well basing on the penalized likelihood.