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pro vyhledávání: '"Liu, YuanYuan"'
Autor:
Liu, Yuanyuan, Xie, Jinwen, Cui, Zhuo-Xu, Zhu, Qingyong, Cheng, Jing, Liang, Dong, Zhu, Yanjie
Quantitative T1rho parameter mapping has shown promise in clinical and research studies. However, it suffers from long scan times. Deep learning-based techniques have been successfully applied in accelerated quantitative MR parameter mapping. However
Externí odkaz:
http://arxiv.org/abs/2407.05617
Abnormalities in retinal fundus images may indicate certain pathologies such as diabetic retinopathy, hypertension, stroke, glaucoma, retinal macular edema, venous occlusion, and atherosclerosis, making the study and analysis of retinal images of gre
Externí odkaz:
http://arxiv.org/abs/2405.16235
In Video-based Facial Expression Recognition (V-FER), models are typically trained on closed-set datasets with a fixed number of known classes. However, these V-FER models cannot deal with unknown classes that are prevalent in real-world scenarios. I
Externí odkaz:
http://arxiv.org/abs/2404.17100
Hoeffding's inequality is a fundamental tool widely applied in probability theory, statistics, and machine learning. In this paper, we establish Hoeffding's inequalities specifically tailored for an irreducible and positive recurrent continuous-time
Externí odkaz:
http://arxiv.org/abs/2404.14888
Affective computing, which aims to recognize, interpret, and understand human emotions, provides benefits in healthcare, such as improving patient care and enhancing doctor-patient communication. However, there is a noticeable absence of a comprehens
Externí odkaz:
http://arxiv.org/abs/2402.13589
The solution to Poisson's equation arise in many Markov chain and Markov jump process settings, including that of the central limit theorem, value functions for average reward Markov decision processes, and within the gradient formula for equilibrium
Externí odkaz:
http://arxiv.org/abs/2401.15905
The basic question in perturbation analysis of Markov chains is: how do small changes in the transition kernels of Markov chains translate to chains in their stationary distributions? Many papers on the subject have shown, roughly, that the change in
Externí odkaz:
http://arxiv.org/abs/2312.14246
Bayesian inference with deep generative prior has received considerable interest for solving imaging inverse problems in many scientific and engineering fields. The selection of the prior distribution is learned from, and therefore an important repre
Externí odkaz:
http://arxiv.org/abs/2310.17817
Publikováno v:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Though Multimodal Sentiment Analysis (MSA) proves effective by utilizing rich information from multiple sources (e.g., language, video, and audio), the potential sentiment-irrelevant and conflicting information across modalities may hinder the perfor
Externí odkaz:
http://arxiv.org/abs/2310.05804
Autor:
Liu, Yuanyuan, Cui, Zhuo-Xu, Liu, Congcong, Zheng, Hairong, Wang, Haifeng, Zhou, Yihang, Zhu, Yanjie
Long scan time significantly hinders the widespread applications of three-dimensional multi-contrast cardiac magnetic resonance (3D-MC-CMR) imaging. This study aims to accelerate 3D-MC-CMR acquisition by a novel method based on score-based diffusion
Externí odkaz:
http://arxiv.org/abs/2310.04669