Results 31 to 40 of about 423,040 (338)
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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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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Automatically bridging the semantic gap in machine introspection [PDF]
, 2016 Disclosed are various embodiments that facilitate automatically bridging the semantic gap in machine introspection. It may be determined that a program executed by a first virtual machine is requested to introspect a second virtual machine. A system call
Fu, Yangchun, Lin, Zhiqiang
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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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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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Perceptual-based textures for scene labeling: a bottom-up and a top-down approach [PDF]
, 2010 Due to the semantic gap, the automatic interpretation of digital images is a very challenging task. Both the segmentation and classification are intricate because of the high variation of the data. Therefore, the application of appropriate features is of
Lambert, Peter +3 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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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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A framework for automatic semantic video annotation [PDF]
, 2013 The rapidly increasing quantity of publicly available videos has driven research into developing automatic tools for indexing, rating, searching and retrieval.
A Amir +20 more
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Sparse Transfer Learning for Interactive Video Search Reranking [PDF]
, 2011 Visual reranking is effective to improve the performance of the text-based video search. However, existing reranking algorithms can only achieve limited improvement because of the well-known semantic gap between low level visual features and high level ...
Barais, Olivier +4 more
core +15 more sources