Domain adaption based on source dictionary regularized RKHS subspace learning
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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
Fault Diagnosis of Bearings With the Common-Domain Data
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DOI: 10.1109/access.2022.3167761
Abstract: Rolling element bearings are one of the important components in rotating machines. Therefore, many studies on bearing diagnosis have been conducted with artificial intelligence (AI) to do maintenance on the machines on time. In general,… read more here.
Keywords: common domain; fault diagnosis; machine; domain ... See more keywords
Classification of Liver Fibrosis From Heterogeneous Ultrasound Image
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DOI: 10.1109/access.2023.3240216
Abstract: With the advances in deep learning, including Convolutional Neural Networks (CNN), automated diagnosis technology using medical images has received considerable attention in medical science. In particular, in the field of ultrasound imaging, CNN trains the… read more here.
Keywords: external domain; performance; classification; domain ... See more keywords
Sequence Labeling With Meta-Learning
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DOI: 10.1109/tkde.2021.3118469
Abstract: Recent neural architectures in sequence labeling have yielded state-of-the-art performance on single domain data such as newswires. However, they still suffer from (i) requiring massive amounts of training data to avoid overfitting; (ii) huge performance… read more here.
Keywords: meta learning; sequence labeling; sequence; domain data ... See more keywords
Deep learning of image- and time-domain data enhances the visibility of structures in optoacoustic tomography.
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DOI: 10.1364/ol.424571
Abstract: Images rendered with common optoacoustic system implementations are often afflicted with distortions and poor visibility of structures, hindering reliable image interpretation and quantification of bio-chrome distribution. Among the practical limitations contributing to artifactual reconstructions are… read more here.
Keywords: time; domain data; image; visibility structures ... See more keywords