no code implementations • 21 May 2022 • Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang
Various tensor decomposition methods have been proposed for data compression.
no code implementations • 31 Mar 2021 • Zichang He, Zheng Zhang
Recently, low-rank tensor methods have been developed to mitigate this issue, but two fundamental challenges remain open: how to automatically determine the tensor rank and how to adaptively pick the informative simulation samples.
no code implementations • 23 Dec 2020 • Zichang He, Bo Zhao, Zheng Zhang
In this paper, we introduce an active low-rank tensor model for fast MR imaging.
no code implementations • 10 May 2017 • Zichang He, Wen Jiang
However, the state is allowed to be uncertain in the EM model before the final decision is made.
no code implementations • 17 Apr 2017 • Zichang He, Wen Jiang
Dempster-Shafer evidence theory is wildly applied in multi-sensor data fusion.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
However, the categorization process may interfere the decision making result and the law of total probability can be violated in some situations.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
However, the weights of criteria are kept as interval numbers to generate interval BPAs and do the fusion of interval BPAs.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
The new belief Markov chain model overcomes the shortcomings of classical Markov chain and has an efficient ability in dealing with uncertain information.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
The uncertainty in actions is represented as an extra uncertainty state.