Zobrazeno 1 - 10
of 179 826
pro vyhledávání: '"semantic Information"'
Real-world recommendation systems commonly offer diverse content scenarios for users to interact with. Considering the enormous number of users in industrial platforms, it is infeasible to utilize a single unified recommendation model to meet the req
Externí odkaz:
http://arxiv.org/abs/2412.06308
We study $\textit{how}$ rich visual semantic information is represented within various layers and denoising timesteps of different diffusion architectures. We uncover monosemantic interpretable features by leveraging k-sparse autoencoders (k-SAE). We
Externí odkaz:
http://arxiv.org/abs/2411.16725
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming, and uncom
Externí odkaz:
http://arxiv.org/abs/2412.18919
Autor:
Lu, Chenguang
Recent advances in deep learning suggest that we need to maximize and minimize two different kinds of information simultaneously. The Information Max-Min (IMM) method has been used in deep learning, reinforcement learning, and maximum entropy control
Externí odkaz:
http://arxiv.org/abs/2411.05789
Digital research data management is increasingly integrated across universities and research institutions, addressing the handling of research data throughout its lifecycle according to the FAIR data principles (Findable, Accessible, Interoperable, R
Externí odkaz:
http://arxiv.org/abs/2409.11065
Autor:
Lu, Chenguang
The Variational Bayesian method (VB) is used to solve the probability distributions of latent variables with the minimum free energy criterion. This criterion is not easy to understand, and the computation is complex. For these reasons, this paper pr
Externí odkaz:
http://arxiv.org/abs/2408.13122
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The task of image fusion for optical images and SAR images is to integrate valuable information from source images. Recently, owing to powerful generation, diffusion models, e.g., diffusion denoising probabilistic model and score-based diffu
Externí odkaz:
https://doaj.org/article/c5a48ed0a2044971bc6f9afc54b88bba
Publikováno v:
Geo-spatial Information Science, Pp 1-17 (2024)
Obtaining information about various vehicle types traveling on road networks is crucial for estimating traffic loads on roads, evaluating the adequacy of road design standards, and providing personalized navigation guidance. Traditional intrusive and
Externí odkaz:
https://doaj.org/article/66a839a801944344aff660841c61e24e
Unsupervised constituency parsers organize phrases within a sentence into a tree-shaped syntactic constituent structure that reflects the organization of sentence semantics. However, the traditional objective of maximizing sentence log-likelihood (LL
Externí odkaz:
http://arxiv.org/abs/2410.02558