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Mind the semantic gap: semantic efficiency in human computer interfaces [PDF]
Frontiers in Artificial IntelligenceAs we become increasingly dependent on technology in our daily lives, the usability of HCIs is a key driver of individual empowerment for us all. A primary focus of AI systems has been to make HCIs easier to use by identifying what users need and ...
James Horsley
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Due to its high efficiency and low cost, automatic extraction of building footprints from remotely sensed imagery has long been an important means to obtain building footprint information, which can be easily implemented using existing fully ...
Hua Zhang +3 more
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MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis
Frontiers in Physics, 2023 Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang +5 more
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Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods
IEEE Access, 2021 Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li +5 more
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Philosophy in technology: A research program
Zagadnienia Filozoficzne w Nauce, 2023 Philosophy in technology is a research program that studies the philosophical roots of engineering and technology. Technologists, by virtue of their education, believe that the limits, goals, possibilities, and effects of technology on society and ...
Paweł Polak
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Tradition in the Post- Traditional World: National Literature as Experience of Prolongation [PDF]
Studia Litterarum, 2020 The article examines the meaning behind the concept “tradition” as a factor in the self-determination of a national literature and its correlation with modernity.
Kazbek K. Sultanov
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Stacked Siamese Neural Network (SSiNN) on Neural Codes for Content-Based Image Retrieval
IEEE Access, 2023 Content-based image retrieval (CBIR) represents a class of problems that aims at finding relevant images in response to an image-based search query. The CBIR systems use similarity measures or distance metrics between a group of representative features ...
Gopu V. R. Muni Kumar, D. Madhavi
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Proceedings of the sixteenth ACM conference on Hypertext and hypermedia, 2005 Hypertext can be seen as a logic representation, where semantics are encoded in both the textual nodes and the graph of links. Systems that have a very formal representation of these semantics are able to manipulate the hypertexts in a sophisticated way; for example by adapting them or sculpting them at run-time.
Millard, David E. +3 more
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An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
IEEE Access, 2020 Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song +6 more
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Graph Regularized Hierarchical Diffusion Process With Relevance Feedback for Medical Image Retrieval
IEEE Access, 2021 Befitting from the interpretability and the capacity in capturing the underlying manifold structure, diffusion process (DP) has attracted increasing attention in the field of image retrieval.
Liming Xu +4 more
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