Articles with "joint distribution" as a keyword



Fusion of noisy images based on joint distribution model in dual‐tree complex wavelet domain

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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

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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

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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

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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

American Jewish Joint Distribution Committee and the reconstruction of destroyed Jewish homes in Lithuania, 1921–1924

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Published in 2024 at "Journal of Baltic Studies"

DOI: 10.1080/01629778.2024.2319123

Abstract: ABSTRACT This article presents the reconstruction of housing for Jewish Lithuanian refugees returning home after World War I. The refugees found their original homes ‘completely destroyed’ or ‘partially destroyed,’ which were the formal categories used… read more here.

Keywords: american jewish; joint distribution; reconstruction; jewish joint ... See more keywords

Improved deep domain adversarial neural network with joint maximum mean discrepancy for bearing multi-condition fault diagnosis

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Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/adb6c7

Abstract: The non-Gaussian and other complex forms of data distribution for the speed and load of different bearings are due to various nonlinear factors. When processing data, marginal distribution only focuses on the distribution differences on… read more here.

Keywords: distribution; joint distribution; bearing multi; network ... See more keywords

Deep Joint Distribution Alignment: A Novel Enhanced-Domain Adaptation Mechanism for Fault Transfer Diagnosis

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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

Feature and Joint Distribution Migration Alignment Method for Cross-Domain Fault Diagnosis of Rotating Machinery

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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3548217

Abstract: Currently, most existing fault diagnosis methods based on domain adaptive (DA) learning reduce the distribution difference between two domains from the metric distance perspective. However, the domain alignment is performed only from the perspective of… read more here.

Keywords: method; distribution; joint distribution; fault diagnosis ... See more keywords

Sharp Bounds for Mutual Covering

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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

A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions

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Published in 2024 at "Shock and Vibration"

DOI: 10.1155/2024/8296809

Abstract: To address the degradation of diagnostic performance due to data distribution differences and the scarcity of labeled fault data, this study has focused on transfer learning-based cross-domain fault diagnosis, which attracts considerable attention. However, deep… read more here.

Keywords: adaptation; distribution; joint distribution; fault diagnosis ... See more keywords

Problem of Existence of Joint Distribution on Quantum Logic

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Published in 2024 at "Entropy"

DOI: 10.3390/e26121121

Abstract: This paper deals with the topics of modeling joint distributions on a generalized probability space. An algebraic structure known as quantum logic is taken as the basic model. There is a brief summary of some… read more here.

Keywords: logic; joint distribution; problem existence; quantum logic ... See more keywords