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   Articles with "domain adaption" as a keyword



Domain adaption based on source dictionary regularized RKHS subspace learning

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recommendations! Published in 2021 at "Pattern Analysis and Applications"

DOI: 10.1007/s10044-021-01002-x

Abstract: Domain adaption is to transform the source and target domain data into a certain space through a certain transformation, so that the probability distribution of the transformed data is as close as possible. The domain… read more here.

Keywords: rkhs subspace; source; domain data; domain ... See more keywords

Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption

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recommendations! Published in 2022 at "Neurocomputing"

DOI: 10.1016/j.neucom.2022.02.019

Abstract: Recently, image dehazing task has achieved remarkable progress by convolutional neural network. However, those approaches mostly treat haze removal as a one-to-one problem and ignore the intra-domain gap. Therefore, haze distribution shift of the same… read more here.

Keywords: domain gap; intra domain; domain; inter domain ... See more keywords

A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/adb2b1

Abstract: To enhance the cross-domain diagnostic ability of the model, domain adaptation method is adopted. When using traditional domain adaption methods to extract domain invariant characteristics of axial flow fan faults, the characteristics of the source… read more here.

Keywords: method; source domain; source; domain adaption ... See more keywords

Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images

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recommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2947473

Abstract: Urban villages (UVs) are distinctive products formed in the process of rapid urbanization. The fine-grained mapping of UVs from satellite images has always been a considerable challenge because of the complex urban structures and the… read more here.

Keywords: adaption fine; fine grained; domain adaption; satellite images ... See more keywords

Multipoint Contact Detection for Rigid-Soft Finger Without Tactile Sensor, Using Domain Adaption Combined Network

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recommendations! Published in 2024 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2023.3342310

Abstract: Proprioception including position and force perception is particularly important in the grasp and manipulation of soft robots. However, limited by their size and fabrication, it is difficult to integrate a sufficient number of high-performance soft… read more here.

Keywords: sensor; adaption combined; contact; combined network ... See more keywords

Multiscale Transfer Voting Mechanism: A New Strategy for Domain Adaption

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recommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2020.3045392

Abstract: Domain adaption models are widely applied to fault transfer diagnosis. However, the traditional domain adaption models can output only one high-dimensional transfer feature (TF); thus, it is difficult to capture domain-invariant information. Besides, using only… read more here.

Keywords: multiscale transfer; domain; adaption models; domain adaption ... See more keywords
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Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network.

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recommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3262599

Abstract: Domain adaption (DA) is a challenging task that integrates knowledge from source domain (SD) to perform data analysis for target domain. Most of the existing DA approaches only focus on single-source-single-target setting. In contrast, multisource… read more here.

Keywords: cross scene; classification; multisource data; domain ... See more keywords

Domain Adaption Based on ELM Autoencoder

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recommendations! Published in 2017 at "Mathematical Problems in Engineering"

DOI: 10.1155/2017/1239164

Abstract: We propose a new ELM Autoencoder (ELM-AE) based domain adaption algorithm which describes the subspaces of source and target domain by ELM-AE and then carries out subspace alignment to project different domains into a common… read more here.

Keywords: domain; elm autoencoder; domain adaption;