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Semantic matching in GUI test reuse. [PDF]
Empir Softw EngAbstract Reusing test cases across apps that share similar functionalities reduces both the effort required to produce useful test cases and the time to offer reliable apps to the market. The main approaches to reuse test cases across apps combine different semantic matching and test generation algorithms to migrate test cases across apps ...
Khalili F +4 more
europepmc +4 more sources
Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis [PDF]
Occupational Therapy International, 2022 The main semantic symbol systems for people to express their emotions include natural language and music. The analysis and establishment of semantic association between language and music is helpful to provide more accurate retrieval and recommendation ...
Wensi Ouyang
doaj +2 more sources
Semantic Cross-View Matching [PDF]
2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015 Matching cross-view images is challenging because the appearance and viewpoints are significantly different. While low-level features based on gradient orientations or filter responses can drastically vary with such changes in viewpoint, semantic ...
Angst, Roland +4 more
core +4 more sources
Text Semantic Matching Model Based on Multi-Angles Information Interaction [PDF]
Jisuanji gongcheng, 2021 The existing semantic text matching methods are mostly based on a simple attention mechanism for interactions, and less consideration is given to the structural information of the text itself and the original information interactions between the texts.To
WENG Zhaoqi, ZHANG Lin
doaj +1 more source
Short Text Matching Model Combined with Multi-Granularity Information and External Knowledge [PDF]
Jisuanji gongcheng, 2022 Chinese short text semantic matching generally uses word sequences, rather than character sequences, to achieve higher semantic-matching performance.However, Chinese word segmentation may be inaccurate or ambiguous, and word segmentation errors can ...
LIANG Dengyu, LIU Daming
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Semantic Matching Based on Semantic Segmentation and Neighborhood Consensus
Applied Sciences, 2021 Establishing dense correspondences across semantically similar images is a challenging task, due to the large intra-class variation caused by the unconstrained setting of images, which is prone to cause matching errors.
Huaiyuan Xu +5 more
doaj +1 more source
Image Captioning with multi-level similarity-guided semantic matching
Visual Informatics, 2021 Image Captioning is a cross-modal task that needs to automatically generate coherent natural sentences to describe the image contents. Due to the large gap between vision and language modalities, most of the existing methods have the problem of ...
Jiesi Li +3 more
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Text Matching Model Based on Dependency Relation and Neural Network [PDF]
Jisuanji gongcheng, 2019 In order to enhance the text semantic capture ability of text matching model and improve the semantic matching accuracy,a text matching model based on word embedding and dependency relation is proposed.It constructs the semantic representation of the ...
ZHEN Zhuo, CHEN Yuquan
doaj +1 more source
Hierarchical Visual Place Recognition Based on Semantic-Aggregation
Applied Sciences, 2021 A major challenge in place recognition is to be robust against viewpoint changes and appearance changes caused by self and environmental variations.
Baifan Chen +3 more
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AUTONOMOUS VEHICLES LOCALISATION BASED ON SEMANTIC MAP MATCHING METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 In autonomous driving systems, a positioning method that can be used in scenarios with no satellite signals or long signal interruptions is a must. In this paper, we address the problems in map construction methods and map matching methods in scenes ...
H. Huang, D. Yu, J. Yang, X. Liu
doaj +1 more source