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Understanding Heterogeneous EO Datasets: A Framework for Semantic Representations
IEEE Access, 2018 Earth observation (EO) has become a valuable source of comprehensive, reliable, and persistent information for a wide number of applications. However, dealing with the complexity of land cover is sometimes difficult, as the variety of EO sensors reflects
Corina Vaduva +2 more
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Content-Based Medical Image Retrieval Based on Image Feature Projection in Relevance Feedback Level [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2014 The purpose of this study is to design a content-based medical image retrieval system and provide a new method to reduce semantic gap between visual features and semantic concepts.
Mohammad Behnam, Hossein Pourghasem
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THE GAP IS SEMANTIC, NOT EPISTEMOLOGICAL [PDF]
Ratio, 2007 AbstractThis paper explores an alternative to the metaphysical challenge to physicalism posed by Jackson and Kripke and to the epistemological one exemplified by the positions of Nagel, Levine and McGinn. On this alternative the mind‐body gap is neither ontological nor epistemological, but semantic.
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Big Data and Cognitive Computing, 2019 In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules.
Soumaya Trabelsi Ben Ameur +3 more
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Study on Cross-media Information Retrieval Based on Common Subspace Classification Learning [PDF]
Jisuanji kexue, 2022 The semantic similarity between two different media data can not be calculated directly because of the serious heterogeneous gap and semantic gap between them,which affects the implementation and effect of cross media retrieval.Although the common space ...
HAN Hong-qi, RAN Ya-xin, ZHANG Yun-liang, GUI Jie, GAO Xiong, YI Meng-lin
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DA-GAN: Dual Attention Generative Adversarial Network for Cross-Modal Retrieval
Future Internet, 2022 Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities,
Liewu Cai +3 more
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Speakers Fill Lexical Semantic Gaps with Context [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Pimentel, Tiago +3 more
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Multi-Modal Fake News Detection via Bridging the Gap between Modals
Entropy, 2023 Multi-modal fake news detection aims to identify fake information through text and corresponding images. The current methods purely combine images and text scenarios by a vanilla attention module but there exists a semantic gap between different ...
Peng Liu +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral imagery with high spatial resolution (H2) imagery can synchronously obtain the spectral and spatial features of objects, thus providing richer information.
Shuai Zhang +5 more
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DGFNet: Dual Gate Fusion Network for Land Cover Classification in Very High-Resolution Images
Remote Sensing, 2021 Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on land cover classification thanks to their outstanding nonlinear feature extraction ability. DCNNs are usually designed as an encoder–decoder architecture
Yongjie Guo +3 more
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