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Vision-based image similarity measurement for image search similarity
In various applications across different platforms, image similarity features such as image searching and similar image recommendations are widely...
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Cross-type image similarity measurement
At this stage, due to the different methods of expressing attribute characteristics between cross-type images, the performance measurement accuracy...
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Fine-grained semantic textual similarity measurement via a feature separation network
Semantic text similarity (STS), which measures the semantic similarity of sentences, is an important task in the field of NLP. It has a wide range of...
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A case weighted similarity deep measurement method based on a self-attention Siamese neural network
To improve the accuracy of similarity measures in case-based reasoning, in this paper, we propose a deep metric learning method based on a...
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Automatic Grading of Student Code with Similarity Measurement
Nowadays, online judges are extensively used for automatically grading student code. However, they grade code by only counting the number of passed...
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3D Shape Similarity Measurement Based on Scale Invariant Functional Maps
In recent years, the research focus on shape analysis has centered around the similarity and consistency of 3D models. The matching results derived...
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A novel video-based pedestrian re-identification method of sequence feature distribution similarity measurement combined with deep learning
In this paper, we propose a novel video-sequence-based pedestrian re-identification method using the feature distribution similarity measurement...
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Quantifying User Experience Through Self-reporting Questionnaires: A Systematic Analysis of the Sentence Similarity Between the Items of the Measurement Approaches
Standardized questionnaires are a common way to collect self-reported data about users. User experience (UX) questionnaires are metrics with...
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Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement
Exploring the temporal research features of Nobel laureates’ papers based on the semantic measurement indexes is helpful to understand the successful...
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Aggregated Relative Similarity (ARS): a novel similarity measure for improved personalised learning recommendation using hybrid filtering approach
To improve the effectiveness of online learning, the learning materials recommendation is required to be personalised to the learner material...
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Experimental analysis of similarity measurements for multivariate time series and its application to the stock market
Similarity measurement takes on critical significance in strategies that seek similar stocks based on historical data to make predictions. Stock data...
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Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification
Quantifying the trajectory similarity is a fundamental functionality in analysis tasks of spatio-temporal data. Existing classic methods compute the...
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Similarity evaluation of graphic design based on deep visual saliency features
The creativity of an excellent design work generally comes from the inspiration and innovation of its main visual features. The similarity among...
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Clique Counts for Network Similarity
Counts of small subgraphs, or graphlet counts, are widely applicable to measure graph similarity. Computing graphlet counts can be computationally...
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Semantic Similarity Functions and Their Applications
Similarity is a rich concept deeply rooted in human knowledge and perception. Interest in similarity and categorization of objects can be traced back...
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Dynamic time war** similarity measurement based on low-rank sparse representation
Similarity measurement of time series is one of the focus issues in time series analysis and mining. Morphology maintenance of time series is a...
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Music similarity measurement and recommendation system using convolutional neural networks
Due to the massive and growing volume of music on the internet, and the lack of proper management on this massive volume, similarity and music...
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SkillSim: voice apps similarity detection
Virtual personal assistants (VPAs), such as Amazon Alexa and Google Assistant, are software agents designed to perform tasks or provide services to...
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A distributed framework for large-scale semantic trajectory similarity join
The similarity join is a common yet expensive operator for large-scale semantic trajectories analytics. In this paper, we propose
DFST , an efficient...
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Knowledge-Based Multimodal Music Similarity
Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for...