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2
Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29258
Abstract: This work proposes principal component analysis (PCA) coil compression and weight sharing to reduce acquisition and reconstruction time of through‐time radial GRAPPA.
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Keywords:
compression weight;
time;
radial grappa;
coil compression ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3258400
Abstract: Environment perception constitutes one of the most critical operations performed by semi- and fully- autonomous vehicles. In recent years, Deep Neural Networks (DNNs) have become the standard tool for perception solutions owing to their impressive…
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Keywords:
neural networks;
deep neural;
multi modal;
weight sharing ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3374725
Abstract: TD3 is one of the most high-performing Deep Reinforcement Learning (DRL) algorithms, providing high training stability and rewards. However, it suffers from low energy efficiency due to high External Memory Access (EMA) and floating point…
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Keywords:
block mantissa;
based weight;
weight sharing;
reinforcement learning ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3465537
Abstract: Hyperspectral imagery is valuable for accurate detection of land-cover changes within a consistent area across time. However, current training paradigms for hyperspectral change detection (CD) are usually in supervised form which are not consistent to…
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Keywords:
bandwise spatial;
change detection;
conflict;
weight sharing ... See more keywords
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3
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3156373
Abstract: Neural architecture search (NAS) depends heavily on an efficient and accurate performance estimator. To speed up the evaluation process, recent advances, like differentiable architecture search (DARTS) and One-Shot approaches, instead of training every model from…
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Keywords:
weight sharing;
sharing nas;
search space;
powering weight ... See more keywords
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2
Published in 2022 at "Optics express"
DOI: 10.1364/oe.468635
Abstract: To cope with the nonlinear distortions and the chromatic dispersion (CD) induced power fading in double-side band (DSB) intensity modulation and direct detection (IM/DD) transmission systems, high-performance Volterra nonlinear equalizers (VNLEs) including Volterra feed-forward equalizer…
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Keywords:
low complexity;
performance;
transmission;
vdfe ... See more keywords
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1
Published in 2022 at "Optics letters"
DOI: 10.1364/ol.477320
Abstract: A Volterra nonlinear equalizer (VNLE) can effectively mitigate both linear and nonlinear impairments arising in intensity-modulation direct-detection (IM-DD) transmission systems. However, the high computational complexity of the VNLE hinders its applications. Here, we propose a…
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Keywords:
equalizer;
nonlinear equalizer;
equalizer weight;
transmission ... See more keywords