Zobrazeno 1 - 10
of 170 405
pro vyhledávání: '"discriminator"'
Autor:
Soltanpour, Sima, Chang, Arnold, Madularu, Dan, Kulkarni, Praveen, Ferris, Craig, Joslin, Chris
Functional magnetic resonance imaging (fMRI) is extensively used in clinical and preclinical settings to study brain function, however, fMRI data is inherently noisy due to physiological processes, hardware, and external noise. Denoising is one of th
Externí odkaz:
http://arxiv.org/abs/2411.19345
Autor:
Wiebusch, Michael
This work presents a custom analog front-end card designed for the read-out of PMTs coupled to lanthanum bromide scintillators. It integrates 16 discrete analog constant fraction discriminators (CFDs) on a compact 12x10 cm board, providing precise ti
Externí odkaz:
http://arxiv.org/abs/2411.00501
We consider the polynomial Ideal Membership Problem (IMP) for ideals encoding combinatorial problems that are instances of CSPs over a finite language. In this paper, the input polynomial $f$ has degree at most $d=O(1)$ (we call this problem IMP$_d$)
Externí odkaz:
http://arxiv.org/abs/2410.22102
Autor:
Li, Taozhe, Sun, Wei
The Visual Simultaneous Localization and Mapping (V-SLAM) system has seen significant development in recent years, demonstrating high precision in environments with limited dynamic objects. However, their performance significantly deteriorates when d
Externí odkaz:
http://arxiv.org/abs/2410.10669
Autor:
Chen, Quan1 (AUTHOR), Li, Hao1 (AUTHOR) lihao707@ynu.edu.cn, Lu, Gehao1 (AUTHOR) glu@ynu.edu.cn
Publikováno v:
Scientific Reports. 11/23/2024, Vol. 14 Issue 1, p1-13. 13p.
LaVIDE: A Language-Vision Discriminator for Detecting Changes in Satellite Image with Map References
Change detection, which typically relies on the comparison of bi-temporal images, is significantly hindered when only a single image is available. Comparing a single image with an existing map, such as OpenStreetMap, which is continuously updated thr
Externí odkaz:
http://arxiv.org/abs/2411.19758
Autor:
Arefin, Nirob
Generative Adversarial Networks (GAN) are among the widely used Generative models in various applications. However, the original GAN architecture may memorize the distribution of the training data and, therefore, poses a threat to Membership Inferenc
Externí odkaz:
http://arxiv.org/abs/2410.07803
Since the introduction of Generative Adversarial Networks (GANs) in speech synthesis, remarkable achievements have been attained. In a thorough exploration of vocoders, it has been discovered that audio waveforms can be generated at speeds exceeding
Externí odkaz:
http://arxiv.org/abs/2408.06906
Autor:
Su, Xinqi, Cui, Yawen, Liu, Ajian, Lin, Xun, Wang, Yuhao, Liang, Haochen, Li, Wenhui, Yu, Zitong
In current web environment, fake news spreads rapidly across online social networks, posing serious threats to society. Existing multimodal fake news detection (MFND) methods can be classified into knowledge-based and semantic-based approaches. Howev
Externí odkaz:
http://arxiv.org/abs/2408.10883
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In this paper, we propose MSA-ESRGAN, a novel super-resolution model designed to enhance the perceptual quality of images. The key innovation of our approach lies in the integration of a multi-scale attention U-Net discriminator, which allow
Externí odkaz:
https://doaj.org/article/61504d1106924158ade509ce49bb5e2a