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Mind the semantic gap: semantic efficiency in human computer interfaces [PDF]
As 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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Mind the gap: another look at the problem of the semantic gap in image retrieval [PDF]
This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques.
Paul H Lewis
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Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between
Xiaoshan Xie, Min Yang
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Research on Semantic Gap Problem of Virtual Machine
Semantic gap is a major challenge for virtualization security applications. Many researches have been carried out represented by virtual machine introspection around bridging the semantic gap. This paper analyzes the causes of semantic gap problem, discusses the differences of current semantic gap bridging method in the aspects of extracting and view ...
Bo Zhao, Wang Xiaorui, Zhao Rongcai
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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
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
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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Tradition in the Post- Traditional World: National Literature as Experience of Prolongation [PDF]
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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Philosophy in technology: A research program
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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Stacked Siamese Neural Network (SSiNN) on Neural Codes for Content-Based Image Retrieval
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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