Zobrazeno 1 - 10
of 1 174 716
pro vyhledávání: '"Tan, BE"'
Autor:
Feng, Peijie, Tan, Yong, Chong, Mingzhe, Li, Lintao, Zhang, Zongkun, Liu, Fubei, Tan, Yunhua, Wen, Yongzheng
Diffractive deep neural network (D2NN), known for its high speed, low power consumption, and strong parallelism, has been widely applied across various fields, including pattern recognition, image processing, and image transmission. However, existing
Externí odkaz:
http://arxiv.org/abs/2409.20346
Autor:
Yan, Jipeng, Kawara, Shusei, Tan, Qingyuan, Zhu, Jingwen, Wang, Bingxue, Toulemonde, Matthieu, Liu, Honghai, Tan, Ying, Tang, Meng-Xing
Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction
Externí odkaz:
http://arxiv.org/abs/2409.11391
Autor:
Wang, Xin, Tan, Tao, Gao, Yuan, Marcus, Eric, Han, Luyi, Portaluri, Antonio, Zhang, Tianyu, Lu, Chunyao, Liang, Xinglong, Beets-Tan, Regina, Teuwen, Jonas, Mann, Ritse
Precision breast cancer (BC) risk assessment is crucial for developing individualized screening and prevention. Despite the promising potential of recent mammogram (MG) based deep learning models in predicting BC risk, they mostly overlook the 'time-
Externí odkaz:
http://arxiv.org/abs/2409.06887
Proximal policy optimization (PPO) is a widely-used algorithm for on-policy reinforcement learning. This work offers an alternative perspective of PPO, in which it is decomposed into the inner-loop estimation of update vectors, and the outer-loop app
Externí odkaz:
http://arxiv.org/abs/2411.00666
In this survey, we introduce Meta-Black-Box-Optimization (MetaBBO) as an emerging avenue within the Evolutionary Computation (EC) community, which incorporates Meta-learning approaches to assist automated algorithm design. Despite the success of Meta
Externí odkaz:
http://arxiv.org/abs/2411.00625
Autor:
Yin, Ke, Tang, Kaihao, Tan, Lu, Bakhat, Saddam Ibrahim Dawalbait, Dong, Tianyu, Zhu, Huacheng, Yang, Yang
In this article, the non-Hermitian characteristics of three-dimensional PT-symmetric coupled electronic resonators are theoretically analyzed. First, the concept of non-Hermitian PT symmetry is illustrated in the context of electronics using a pair o
Externí odkaz:
http://arxiv.org/abs/2411.00591
As data emerges as a vital driver of technological and economic advancements, a key challenge is accurately quantifying its value in algorithmic decision-making. The Shapley value, a well-established concept from cooperative game theory, has been wid
Externí odkaz:
http://arxiv.org/abs/2411.00388
Autor:
Nguyen, Tung T., Tân, Nguyen Duy
A graph is called integral if its eigenvalues are integers. In this article, we provide the necessary and sufficient conditions for a Cayley graph over a finite symmetric algebra $R$ to be integral. This generalizes the work of So who studies the cas
Externí odkaz:
http://arxiv.org/abs/2411.00307
Autor:
Ye, Ziyu, Agarwal, Rishabh, Liu, Tianqi, Joshi, Rishabh, Velury, Sarmishta, Le, Quoc V., Tan, Qijun, Liu, Yuan
Current RLHF frameworks for aligning large language models (LLMs) typically assume a fixed prompt distribution, which is sub-optimal and limits the scalability of alignment and generalizability of models. To address this, we introduce a general open-
Externí odkaz:
http://arxiv.org/abs/2411.00062
Technologies for recognizing facial attributes like race, gender, age, and emotion have several applications, such as surveillance, advertising content, sentiment analysis, and the study of demographic trends and social behaviors. Analyzing demograph
Externí odkaz:
http://arxiv.org/abs/2410.24148