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Similarity Search and Applications 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedings
This book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A...
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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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Calculating Similarity of Javadoc Comments
AbstractCode comments are an essential part of software documentation. Many software projects suffer from the problem of low-quality comments that...
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Text mining: identification of similarity of text documents using hybrid similarity model
The volume of data that are accessible on the internet has increased dramatically. This growth of data will only increase exponentially in the future...
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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 Search and Applications 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings
This book constitutes the refereed proceedings of the 15th International Conference on Similarity Search and Applications, SISAP 2022, held in...
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Using Similarity Based on Embeddings
So far we have used a simple metric for the similarity between the lists of words used by pairs of users: their Jaccard similarity. Jaccard...
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ISM: intra-class similarity mixing for time series augmentation
We propose a method based on intra-class similarity mixing, effectively alleviating the inability to improve the generalization of classification...
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Novel construction method for Pythagorean fuzzy similarity measures
Pythagorean fuzzy similarity measures being an extension of classical fuzzy similarity measures give a better assessment of the closeness of two...
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Deep supervised fused similarity hashing for cross-modal retrieval
The need for cross-modal retrieval increases significantly with the rapid growth of multimedia information on the Internet. However, most of existing...
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Random Similarity Forests
The wealth of data being gathered about humans and their surroundings drives new machine learning applications in various fields. Consequently, more...
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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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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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Accelerating similarity-based model matching using dual hashing
Similarity-based model matching is the cornerstone of model versioning. It pairs model elements based on a distance metric (e.g., edit distance)....
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Interlayer co-similarity matrices for link prediction in multiplex networks
Given a target layer in a multiplex network, the objective of link prediction is to predict future relationships by utilizing information from all...
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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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Deep cross-modal hashing with fine-grained similarity
Cross-modal hashing has attracted noticeable attention in the multimedia community. Two-stage methods often show impressive performance by first...
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Label distribution similarity-based noise correction for crowdsourcing
In crowdsourcing scenarios, we can obtain each instance’s multiple noisy labels from different crowd workers and then infer its integrated label via...
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Structural Similarity of Objects Represented by Ordinary Graphs
AbstractThe operations of structural similarity on the objects with a factual basis presented as ordinary graphs are considered. Conditions are given...
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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...