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Great minds think alike: New measures to quantify the similarity of recalls
Given the recent interest in how memory operates in social contexts, it is more important than ever to meaningfully measure the similarity between...
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Query based biomedical document retrieval for clinical information access with the semantic similarity
The amount of exploration done for the available medical literature is quite less and at the same time, there is less awareness of information mining...
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DeepSIM: a novel deep learning method for graph similarity computation
AbstractGraphs are widely used to model real-life information, where graph similarity computation is one of the most significant applications, such...
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An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations
Semantic-enhanced recommendation systems are promising approaches to overcome the sparsity and cold-start problems, which are hard to handle using...
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Local Similarity Theory as the Invariant Solution of the Governing Equations
The present paper shows that local similarity theories, proposed for the strongly-stratified boundary layers, can be derived as invariant solutions...
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A robust two-step algorithm for community detection based on node similarity
The rapid development of the internet and social network platforms has given rise to a new field of research, social network analysis. This field of...
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Layer similarity guiding few-shot Chinese style transfer
Few-shot text style transfer faces two main challenges: The first challenge is the limited availability of reference style text, while the second...
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Time-optimal and Smooth Trajectory Planning for Multi-axis Motion Systems Based on ISC Similarity
Aiming at time-optimal smooth trajectory planning for multi-axis motion systems, this paper proposes a planning algorithm based on improved...
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Nonlinear similarity characterisation and validation of dynamic response of ship stiffened plate structure under explosion load impacts
The similarity test of ship stiffened plate structures under underwater explosions is a cost-effective and efficient method to evaluate the vitality...
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The Prominence of Action Sequences and Behavioral Similarity in the Morris Water Task
The question of What is learned when navigating to a place is reinforced has been the subject of considerable debate. Prevailing views emphasize...
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Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database
Sentence similarity is used in various fields, such as the mining of text, information retrieval from the web, and dialogue-based system. This...
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Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval
Investigating the intricate relationship between citation similarity and the citation interval offers vital insights for refining citation...
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Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval
Deep hashing cross-modal image-text retrieval has the advantage of low storage cost and high retrieval efficiency by map** different modal data...
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A reconciliation between cosine similarity and Euclidean distance in individual decision-making problems
Although both Euclidean distance and cosine similarity are widely used as measures of similarity, there is a lack of clarity as to which one is a...
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Trust-Similarity Analysis-Based Clustering Method
Opinion similarity and trust relationship are considered to be two important measurement attributes for implementing clustering. Traditional...
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A novel similarity measure for fuzzy peer group based removal of mixed noise
In general, raw image may suffer from various uncertain distortions arising due to many factors like low dynamic range of imaging device, low...
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BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking
Handling unreliable detections and avoiding identity switches are crucial for the success of multiple object tracking (MOT). Ideally, MOT algorithm...
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“Are they like me?”: Assessing college math students’ academic and personal similarity perceptions of female peer role models
Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster...
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APSSF: Adaptive CNN Pruning Based on Structural Similarity of Filters
Convolutional neural network (CNN) pruning is a technique used to remove redundant parameters from the network. By doing so, it aims to greatly...
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Similarity Relations
In this chapter, we discuss a special type of fuzzy relations, called similarity relations. They play an important role in interpreting fuzzy...