Results 11 to 20 of about 328,450 (323)
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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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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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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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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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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Visual re-ranking with natural language understanding for text spotting [PDF]
, 2018 The final publication is available at link.springer.comMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text.
Moreno-Noguer, Francesc +2 more
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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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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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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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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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