Domain adaption based on source dictionary regularized RKHS subspace learning
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images
Sign Up to like & getrecommendations! 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
Multiscale Transfer Voting Mechanism: A New Strategy for Domain Adaption
Sign Up to like & getrecommendations! 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
Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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;