Zobrazeno 1 - 10
of 4 177
pro vyhledávání: '"ZHONG, SHAN"'
This paper introduces an innovative semi-supervised learning approach for text classification, addressing the challenge of abundant data but limited labeled examples. Our methodology integrates few-shot learning with retrieval-augmented generation (R
Externí odkaz:
http://arxiv.org/abs/2411.06175
Autor:
Deighton, Jared, Zhong, Shan, Agyeman, Kofi, Choi, Wooseong, Liu, Charles, Lee, Darrin, Maroulas, Vasileios, Christopoulos, Vasileios
Functional ultrasound imaging (fUSI) is a cutting-edge technology that measures changes in cerebral blood volume (CBV) by detecting backscattered echoes from red blood cells moving within its field of view (FOV). It offers high spatiotemporal resolut
Externí odkaz:
http://arxiv.org/abs/2410.09523
Bio-inspired robotic systems are capable of adaptive learning, scalable control, and efficient information processing. Enabling real-time decision-making for such systems is critical to respond to dynamic changes in the environment. We focus on dynam
Externí odkaz:
http://arxiv.org/abs/2407.11377
The optical feedback intensity is an important parameter for realizing narrow linewidth lasers in Whispering-gallery-mode resonator (WGMR) self-injection locking technology. We proposed an approach that enhances the intensity of intracavity feedback
Externí odkaz:
http://arxiv.org/abs/2404.04266
Autor:
Liu, Xiao-Yang, Zhu, Rongyi, Zha, Daochen, Gao, Jiechao, Zhong, Shan, White, Matt, Qiu, Meikang
The surge in interest and application of large language models (LLMs) has sparked a drive to fine-tune these models to suit specific applications, such as finance and medical science. However, concerns regarding data privacy have emerged, especially
Externí odkaz:
http://arxiv.org/abs/2312.17493
In multi-target tracking (MTT), non-Gaussian measurement noise from sensors can diminish the performance of the Gaussian-assumed Gaussian mixture probability hypothesis density (GM-PHD) filter. In this paper, an approach that transforms the MTT probl
Externí odkaz:
http://arxiv.org/abs/2309.08088
The estimation of non-Gaussian measurement noise models is a significant challenge across various fields. In practical applications, it often faces challenges due to the large number of parameters and high computational complexity. This paper propose
Externí odkaz:
http://arxiv.org/abs/2309.02789
Query autocomplete (QAC) also known as typeahead, suggests list of complete queries as user types prefix in the search box. It is one of the key features of modern search engines specially in e-commerce. One of the goals of typeahead is to suggest re
Externí odkaz:
http://arxiv.org/abs/2308.02055
The robustness of the kernel recursive least square (KRLS) algorithm has recently been improved by combining them with more robust information-theoretic learning criteria, such as minimum error entropy (MEE) and generalized MEE (GMEE), which also imp
Externí odkaz:
http://arxiv.org/abs/2307.01442
In real applications, non-Gaussian distributions are frequently caused by outliers and impulsive disturbances, and these will impair the performance of the classical cubature Kalman filter (CKF) algorithm. In this letter, a modified generalized minim
Externí odkaz:
http://arxiv.org/abs/2307.01438