Zobrazeno 1 - 10
of 167 340
pro vyhledávání: '"Systems Science"'
Autor:
Yi, Donghyeon, Lee, Seoyoung, Kim, Jongho, Kim, Junyoung, Ha, Sohmyung, Chang, Ik Joon, Je, Minkyu
Encoder-based transformers, powered by self-attention layers, have revolutionized machine learning with their context-aware representations. However, their quadratic growth in computational and memory demands presents significant bottlenecks. Analog-
Externí odkaz:
http://arxiv.org/abs/2411.14733
Autor:
Wang, Yue, Zhou, Tian, Cui, Zhuo-xu, Huang, Bingsheng, Zheng, Hairong, Liang, Dong, Zhu, Yanjie
Magnetic Resonance Imaging (MRI) is a multi-contrast imaging technique in which different contrast images share similar structural information. However, conventional diffusion models struggle to effectively leverage this structural similarity. Recent
Externí odkaz:
http://arxiv.org/abs/2411.14269
In this work we study the behavior of the forward-backward (FB) algorithm when the proximity operator is replaced by a sub-iterative procedure to approximate a Gaussian denoiser, in a Plug-and-Play (PnP) fashion. In particular, we consider both analy
Externí odkaz:
http://arxiv.org/abs/2411.13276
Publikováno v:
Neural Comput and Applic 36, 791-802, 2024
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to advance in the
Externí odkaz:
http://arxiv.org/abs/2411.13217
This paper proposes a novel neural denoising vocoder that can generate clean speech waveforms from noisy mel-spectrograms. The proposed neural denoising vocoder consists of two components, i.e., a spectrum predictor and a enhancement module. The spec
Externí odkaz:
http://arxiv.org/abs/2411.12268
Despite extensive research, the precise role of acoustic and semantic cues in complex speech perception tasks remains unclear. In this study, we propose a paradigm to understand the encoding of these cues in electroencephalogram (EEG) data, using mat
Externí odkaz:
http://arxiv.org/abs/2411.11308
Growing concerns over climate change call for improved techniques for estimating and quantifying the greenhouse gas emissions associated with electricity generation and transmission. Among the emission metrics designated for power grids, locational m
Externí odkaz:
http://arxiv.org/abs/2411.12104
Cardiovascular diseases (CVDs) remain the leading cause of mortality and morbidity worldwide. Both diagnosis and prognosis of these diseases benefit from high-quality imaging, which cardiac magnetic resonance imaging provides. CMR imaging requires le
Externí odkaz:
http://arxiv.org/abs/2411.11175
In this work, we explore UAV-assisted reconfigurable intelligent surface (RIS) technology to enhance downlink communications in wireless networks. By integrating RIS on both UAVs and ground infrastructure, we aim to boost network coverage, fairness,
Externí odkaz:
http://arxiv.org/abs/2411.10882
We developed a shoe-mounted gait monitoring system capable of tracking up to 17 gait parameters, including gait length, step time, stride velocity, and others. The system employs a stereo camera mounted on one shoe to track a marker placed on the opp
Externí odkaz:
http://arxiv.org/abs/2411.10739