Zobrazeno 1 - 10
of 14 876
pro vyhledávání: '"Yu, Shan"'
The human brain exhibits a strong ability to spontaneously associate different visual attributes of the same or similar visual scene, such as associating sketches and graffiti with real-world visual objects, usually without supervising information. I
Externí odkaz:
http://arxiv.org/abs/2409.18694
Accurately estimating data density is crucial for making informed decisions and modeling in various fields. This paper presents a novel nonparametric density estimation procedure that utilizes bivariate penalized spline smoothing over triangulation f
Externí odkaz:
http://arxiv.org/abs/2408.16963
Autor:
Turishcheva, Polina, Fahey, Paul G., Vystrčilová, Michaela, Hansel, Laura, Froebe, Rachel, Ponder, Kayla, Qiu, Yongrong, Willeke, Konstantin F., Bashiri, Mohammad, Baikulov, Ruslan, Zhu, Yu, Ma, Lei, Yu, Shan, Huang, Tiejun, Li, Bryan M., De Wulf, Wolf, Kudryashova, Nina, Hennig, Matthias H., Rochefort, Nathalie L., Onken, Arno, Wang, Eric, Ding, Zhiwei, Tolias, Andreas S., Sinz, Fabian H., Ecker, Alexander S
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural networks allow computational neuroscientists to create predictive mode
Externí odkaz:
http://arxiv.org/abs/2407.09100
Individual brains vary greatly in morphology, connectivity and organization. The applicability of group-level parcellations is limited by the rapid development of precision medicine today because they do not take into account the variation of parcels
Externí odkaz:
http://arxiv.org/abs/2407.00984
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)
The feasibility-seeking approach offers a systematic framework for managing and resolving intricate constraints in continuous problems, making it a promising avenue to explore in the context of floorplanning problems with increasingly heterogeneous c
Externí odkaz:
http://arxiv.org/abs/2406.03165
Autor:
Ma, Haoran, Qiao, Yifan, Liu, Shi, Yu, Shan, Ni, Yuanjiang, Lu, Qingda, Wu, Jiesheng, Zhang, Yiying, Kim, Miryung, Xu, Harry
Despite being a powerful concept, distributed shared memory (DSM) has not been made practical due to the extensive synchronization needed between servers to implement memory coherence. This paper shows a practical DSM implementation based on the insi
Externí odkaz:
http://arxiv.org/abs/2406.02803
Identifying spatial heterogeneous patterns has attracted a surge of research interest in recent years, due to its important applications in various scientific and engineering fields. In practice the spatially heterogeneous components are often mixed
Externí odkaz:
http://arxiv.org/abs/2404.11579
Automatic Differentiation Variational Inference (ADVI) is efficient in learning probabilistic models. Classic ADVI relies on the parametric approach to approximate the posterior. In this paper, we develop a spline-based nonparametric approximation ap
Externí odkaz:
http://arxiv.org/abs/2403.06302
Surface-based data is commonly observed in diverse practical applications spanning various fields. In this paper, we introduce a novel nonparametric method to discover the underlying signals from data distributed on complex surface-based domains. Our
Externí odkaz:
http://arxiv.org/abs/2403.05644
Publikováno v:
Phys.Lett.B 853 (2024) 138690
The phase transition has always been a major focus in the study of black hole thermodynamics. This study employs the Kramer escape rate from stochastic processes to investigate the first-order phase transition strength between the large and small bla
Externí odkaz:
http://arxiv.org/abs/2402.08887