Fusion of noisy images based on joint distribution model in dual‐tree complex wavelet domain
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22292
Abstract: Source images are frequently corrupted by noise before fusion, which will lead to the quality decline of fused image and the inconvenience for subsequent observation. However, at present, most of the traditional medical image fusion… read more here.
Keywords: wavelet; joint distribution; model; fusion ... See more keywords
Generative Adversarial Networks with Joint Distribution Moment Matching
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Operations Research Society of China"
DOI: 10.1007/s40305-019-00248-x
Abstract: AbstractGenerative adversarial networks (GANs) have shown impressive power in the field of machine learning. Traditional GANs have focused on unsupervised learning tasks. In recent years, conditional GANs that can generate data with labels have been… read more here.
Keywords: adversarial networks; joint distribution; moment matching; distribution moment ... See more keywords
Joint distribution matching embedding for unsupervised domain adaptation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.098
Abstract: Abstract When the distributions between the source (training) and target (test) datasets are different, the performance of classical statistical learning methods degrades significantly. Domain adaptation (DA) aims at correcting this distribution mismatch and narrowing down… read more here.
Keywords: matching embedding; joint distribution; domain adaptation; distribution matching ... See more keywords
JDGAN: Enhancing generator on extremely limited data via joint distribution
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.12.001
Abstract: Abstract Generative Adversarial Network (GAN) is a thriving generative model and considerable efforts have been made to enhance the generation capabilities via designing a different adversarial framework of GAN (e.g., the discriminator and the generator)… read more here.
Keywords: generator; joint distribution; extremely limited; jdgan enhancing ... See more keywords
Deep Joint Distribution Alignment: A Novel Enhanced-Domain Adaptation Mechanism for Fault Transfer Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3162957
Abstract: Various domain adaptation (DA) methods have been proposed to address distribution discrepancy and knowledge transfer between the source and target domains. However, many DA models focus on matching the marginal distributions of two domains and… read more here.
Keywords: joint distribution; distribution alignment; transfer; fault ... See more keywords
Sharp Bounds for Mutual Covering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2019.2919720
Abstract: A fundamental tool in network information theory is the covering lemma, which lower bounds the probability that there exists a pair of random variables; among a given number of independently generated candidates, falling within a… read more here.
Keywords: covering lemma; mutual covering; joint distribution; probability ... See more keywords