Zobrazeno 1 - 10
of 444
pro vyhledávání: '"Wang, Yinsong"'
Magnetic Resonance Imaging (MRI) is a leading diagnostic modality for a wide range of exams, where multiple contrast images are often acquired for characterizing different tissues. However, acquiring high-resolution MRI typically extends scan time, w
Externí odkaz:
http://arxiv.org/abs/2408.03194
Images and structured tables are essential parts of real-world databases. Though tabular-image representation learning is promising to create new insights, it remains a challenging task, as tabular data is typically heterogeneous and incomplete, pres
Externí odkaz:
http://arxiv.org/abs/2407.07582
Dynamic density estimation is ubiquitous in many applications, including computer vision and signal processing. One popular method to tackle this problem is the "sliding window" kernel density estimator. There exist various implementations of this me
Externí odkaz:
http://arxiv.org/abs/2403.07207
Deep learning-based image registration approaches have shown competitive performance and run-time advantages compared to conventional image registration methods. However, existing learning-based approaches mostly require to train separate models with
Externí odkaz:
http://arxiv.org/abs/2303.10700
Autor:
Wang, Yinsong, Shahrampour, Shahin
This paper addresses a cross-modal learning framework, where the objective is to enhance the performance of supervised learning in the primary modality using an unlabeled, unpaired secondary modality. Taking a probabilistic approach for missing infor
Externí odkaz:
http://arxiv.org/abs/2302.02224
Real-time density estimation is ubiquitous in many applications, including computer vision and signal processing. Kernel density estimation is arguably one of the most commonly used density estimation techniques, and the use of "sliding window" mecha
Externí odkaz:
http://arxiv.org/abs/2203.08317
Publikováno v:
In Optics and Lasers in Engineering October 2024 181
Autor:
Zhai, Zihan, Wang, Xin, Qian, Zhanying, Wang, Aili, Zhao, Wenjing, Xiong, Jie, Wang, Jingyi, Wang, Yinsong, Cao, Hailong
Publikováno v:
In Biomedicine & Pharmacotherapy September 2024 178
Autor:
Cheng, Yuanyuan, Qian, Zhanyin, Liu, Xingkun, Zhang, Yinchao, Chen, Qian, Shan, Tianhe, Jiang, Xiaoyu, Liu, Yuanyuan, Liu, Yang, Wang, Yinsong
Publikováno v:
In Chemical Engineering Journal 1 February 2024 481
The notion of generalization in classical Statistical Learning is often attached to the postulate that data points are independent and identically distributed (IID) random variables. While relevant in many applications, this postulate may not hold in
Externí odkaz:
http://arxiv.org/abs/2006.03706