Results 11 to 20 of about 40,689 (263)
Gapping and frame semantics [PDF]
Proceedings of the 13th conference on Computational linguistics -, 1990 The topic of this paper is one of the pet subjects of trar~gformational s yn tax -gapp ing . Seve rn 'exa~ffple's belOw will show that gapping is actually affected 'by' a, combination of syntactic, semantic and pragmatic factors, thus being far from a purely syntactic phenomenon.
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Semantic Based Image Retrieval-A Survey
Acta Infologica, 2021 As a result of rapid technological development, operating with massive data has become a common situation. There is a need for machine learning to process these data and extract meaningful information, and make a decision from them.
Akif Gaşi +2 more
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Bridging the Gap: Query by Semantic Example [PDF]
IEEE Transactions on Multimedia, 2007 A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabulary of visual concepts, as is usual in SR. Each image is then represented by a vector, referred to as a semantic multinomial, of posterior concept probabilities.
Rasiwasia, Nikhil +2 more
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AN OBJECT PROPERTIES FILTER FOR MULTI-MODALITY ONTOLOGY SEMANTIC IMAGE RETRIEVAL
Journal of ICT, 2017 Ontology is a semantic technology that provides the possible approach to bridge the issue on semantic gap in image retrieval between low-level visual features and high-level human semantic.
Mohd Suffian Sulaiman +2 more
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Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
, 2023 NeurIPS 2023.
Xing, Yun +5 more
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Exploring the Semantic Gap for Movie Recommendations [PDF]
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017 In the last years, there has been much attention given to the semantic gap problem in multimedia retrieval systems. Much effort has been devoted to bridge this gap by building tools for the extraction of high-level, semantics-based features from multimedia content, as low-level features are not considered useful because they deal primarily with ...
ELAHI, MEHDI +5 more
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A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network
Shanghai Jiaotong Daxue xuebao, 2021 Due to the high cost and time-consumption of artificial semantic tags, domain-based adaptive semantics segmentation is very necessary. For scenes with large gaps or pixels, it is easy to limit model training and reduce the accuracy of semantic ...
ZHANG Junning, SU Qunxing, WANG Cheng, XU Chao, LI Yining
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Exploring the semantic gap in compiling embedded DSLs [PDF]
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 2018 Optimizing compilers provide valuable contributions to the quality of processed code. The vast majority of application developers rely on those capabilities to obtain binary code efficiently utilizing processing resources. However, compiler proficiency is frequently misjudged by application developers. While for some constellations the effectiveness of
Zangerl, Peter +4 more
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Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation
IEEE Access, 2019 Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes
Juli Zhang +3 more
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MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation
Applied Sciences, 2020 Fundus blood vessel image segmentation plays an important role in the diagnosis and treatment of diseases and is the basis of computer-aided diagnosis.
Hongwei Ding +3 more
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