GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.002
Abstract: We address the issue of speeding up the training of convolutional neural networks by studying a distributed method adapted to stochastic gradient descent. Our parallel optimization setup uses several threads, each applying individual gradient descents… read more here.
Keywords: gosgd; deep learning; optimization; distributed optimization ... See more keywords
Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3015217
Abstract: Maritime images captured under low-light imaging condition easily suffer from low visibility and unexpected noise, leading to negative effects on maritime traffic supervision and management. To promote imaging performance, it is necessary to restore the… read more here.
Keywords: illumination optimization; low light; regularized illumination; optimization deep ... See more keywords
VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3066425
Abstract: Pansharpening refers to a spatio-spectral fusion of a lower spatial resolution multispectral (MS) image with a high spatial resolution panchromatic image, aiming at obtaining an image with a corresponding high resolution both in the domains.… read more here.
Keywords: resolution; optimization; optimization deep; approach ... See more keywords
Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7508836
Abstract: The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective… read more here.
Keywords: classification; optimization deep; covid; based optimization ... See more keywords