Results 21 to 30 of about 2,178,027 (237)
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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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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Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases
Entropy, 2013 The paper addresses image feature characterization and the structuring of large and heterogeneous image databases through the stochasticity or randomness appearance. Measuring stochasticity involves finding suitable representations that can significantly
Rémi Mégret +2 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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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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Ontologies to interpret remote sensing images: why do we need them?
GIScience & Remote Sensing, 2019 The development of new sensors and easier access to remote sensing data are significantly transforming both the theory and practice of remote sensing. Although data-driven approaches based on innovative algorithms and enhanced computing capacities are ...
Damien Arvor +4 more
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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A Comprehensive Review of Recent Advances in Multimodal Multimedia Indexing and Retrieval
IEEE AccessWith the exponential growth of digital data across several domains, multimedia retrieval has emerged as a very critical research area. While much development has been witnessed in feature extraction, indexing methods, and deep learning-based retrieval ...
Chethan Sharma +2 more
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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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