Understanding Metaphors Using Emotions
Sign Up to like & getrecommendations! Published in 2018 at "New Generation Computing"
DOI: 10.1007/s00354-018-0045-3
Abstract: Metaphors convey unspoken emotions and perceptions by creatively applying an evocative concept from the source domain to illustrate some latent idea in the target domain. Prior research on nominal metaphor interpretation focused on identifying those… read more here.
Keywords: interpretation; source; metaphor; source domain ... See more keywords
Reconstruction of a source domain from boundary measurements
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2017.01.021
Abstract: Abstract Inverse and ill-posed problems which consist of reconstructing the unknown support of a source from a single pair of exterior boundary Cauchy data are investigated. The underlying dependent variable, e.g. potential, temperature or pressure,… read more here.
Keywords: source; reconstruction source; domain boundary; source domain ... See more keywords
Privacy-Preserving Multi-Source Domain Adaptation for Medical Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3175071
Abstract: Great progress has been made in diagnosing medical diseases based on deep learning. Large-scale medical data are expected to improve deep learning performance further. It is almost impossible for a single institution to collect so… read more here.
Keywords: domain adaptation; source domain; medical data; multi source ... See more keywords
Robust Hyperspectral Image Domain Adaptation With Noisy Labels
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2889800
Abstract: In hyperspectral image (HSI) classification, domain adaptation (DA) methods have been proved effective to address unsatisfactory classification results caused by the distribution difference between training (i.e., source domain) and testing (i.e., target domain) pixels. However,… read more here.
Keywords: domain adaptation; hyperspectral image; noisy labels; domain ... See more keywords
Attention-Based Multi-Source Domain Adaptation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3065254
Abstract: Multi-source domain adaptation (MSDA) aims to transfer knowledge from multi-source domains to one target domain. Inspired by single-source domain adaptation, existing methods solve MSDA by aligning the data distributions between the target domain and each… read more here.
Keywords: multi source; domain adaptation; source; domain ... See more keywords
FeatureRe-RepresentationandReliablePseudoLabelRetrainingforCross-DomainSemanticSegmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3154933
Abstract: This paper presents a novel unsupervised domain adaptation method for semantic segmentation. We argue that a good representation of the target-domain data should keep both the knowledge from the source domain and the target-domain-specific information.… read more here.
Keywords: source domain; target domain; domain; source ... See more keywords
Learning Transferable Convolutional Proxy by SMI-Based Matching Technique
Sign Up to like & getrecommendations! Published in 2020 at "Shock and Vibration"
DOI: 10.1155/2020/8873137
Abstract: Domain-transfer learning is a machine learning task to explore a source domain data set to help the learning problem in a target domain. Usually, the source domain has sufficient labeled data, while the target domain… read more here.
Keywords: target domain; source; source domain; smi ... See more keywords
Cross-Domain Traffic Scene Understanding by Integrating Deep Learning and Topic Model
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8884669
Abstract: Understanding cross-domain traffic scenarios from multicamera surveillance network is important for environmental perception. Most of existing methods select the source domain which is most similar to the target domain by comparing entire domains for cross-domain… read more here.
Keywords: domain; source domain; domain traffic; cross domain ... See more keywords
P3-MSDA: Multi-Source Domain Adaptation Network for Dynamic Visual Target Detection
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2021.685173
Abstract: Single-trial electroencephalogram detection has been widely applied in brain-computer interface (BCI) systems. Moreover, an individual generalized model is significant for applying the dynamic visual target detection BCI system in real life because of the time… read more here.
Keywords: detection; target; source domain; domain ... See more keywords
Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24070966
Abstract: Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an… read more here.
Keywords: source domain; domain task; target domain; uncertainty ... See more keywords