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Measurement of Similarity (II)
This chapter continues the subject of Chap. 3 , considering the special case of the measurement of...
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Measurement of Similarity (I)
This chapter introduces the idea of measurement of similarity between referential and derived ideas, considering initially that both have the same...
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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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A decision-making model with similarity measurement for case selection in public health treatment
The outbreak of a new major infectious disease often has a severe impact on human health and society. Develo** appropriate treatments is a societal...
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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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Ensemble Feature Selection Method Using Similarity Measurement for EEG-Based Automatic Sleep Staging
Sleep staging is the first step in the diagnosis of sleep disorders. In recent years, the automatic sleep staging algorithm based on single channel...
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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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Similarity-based residual life prediction method based on dynamic time scale and local similarity search
Residual useful life (RUL) prediction is the core of prognostics and health management. Similarity-based residual life prediction (SbRLP) is vital in...
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Extend Tversky’s Ratio Model to an Asymmetric Similarity Measurement Model with Three Conditional Parameters: 3p-ASM Model
Generally, the similarity between objects is often measured by symmetric operators, such as Cosine, Dice, and Jaccard similarity. However, the ratio...
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Scale-invariant Mexican Hat wavelet descriptor for non-rigid shape similarity measurement
The Mexican Hat wavelet (MHW) is strictly derived from the heat kernel by taking its negative first-order derivative with respect to time t . As a...
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Similarity measurement of fuzzy entropies of respiratory sounds and risk measurement according to credibility distributions
In this paper, we have provided some definitions and theorems about fuzzy set, fuzzy set operations, the uncertainty theory used in fuzzy...
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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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When perceived similarity overrides demographic similarity: examining influences on STEM students’ developmental mentor networks
BackgroundWhile dyadic faculty–mentored relationship research currently saturates the mentoring literature, recent developments suggest the need for...
