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Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Hyperdimensional Computing (HDC), also known as Vector-Symbolic Architectures (VSA), is a promising framework for the development of cognitive...
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Discriminative latent semantics-preserving similarity embedding hashing for cross-modal retrieval
Recently, there has been a significant increase in interest in cross-modal hashing technology. For hash code learning, most previous supervision...
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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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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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Text summary evaluation based on interpretable semantic textual similarity
Text summarization methods are much needed to tackle the ever-increasing volume of text data, accessible online to help us find the relevant...
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A novel target item-based similarity function in privacy-preserving collaborative filtering
Memory-based collaborative filtering schemes are among the most effective recommendation technologies in terms of prediction quality, despite...
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Membership Functions From Similarity Relations
Let G be a group and μ a fuzzy subgroup of G. Then μ can be thought to be the membership function of a fuzzy subgroup of G. In this chapter, we...
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The Ties that Matter: From the Perspective of Similarity Measure in Online Social Networks
Online Social Networks have embarked on the importance of connection strength measures which has a broad array of applications such as analyzing...
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Embeddings Evaluation Using a Novel Measure of Semantic Similarity
Lexical taxonomies and distributional representations are largely used to support a wide range of NLP applications, including semantic similarity...
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Improving word similarity computation accuracy by multiple parameter optimization based on ontology knowledge
Word similarity computation is one of the most fundamental areas of research in semantic information processing. Prior studies on Chinese word...
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Revolutionizing ransomware detection and criticality assessment: Multiclass hybrid machine learning and semantic similarity-based end2end solution
In the digital environment, a ransomware detection and protection solution is crucial. Because it makes it possible for companies to combat the...
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Psquad: Plagiarism detection and document similarity of Hindi text
Plagiarism is a significant issue, especially among students, in the education field, where the internet has made a vast amount of information easily...
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Incremental class learning using variational autoencoders with similarity learning
Catastrophic forgetting in neural networks during incremental learning remains a challenging problem. Previous research investigated catastrophic...
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Analysis and Design of Document Similarity Using BiLSTM and BERT
In this paper, we propose a deep learning-based approach to measure document similarity using bidirectional encoder representations (BERTs) from...
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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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Semantic Similarity Between Medium-Sized Texts
Semantically comparing texts is a task that is useful in various fields, such as the automatic correction of exams and/or activities. Making use of...
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User Evaluation to Measure the Perception of Similarity Measures in Artworks
Similarity measures do not typically capture subjective elements of perception of similarity. Our research contributes an experimental methodology...
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An efficient similarity metric for 3D medical image registration
In this paper, we develop an efficient mutual information based similarity metric for 3D medical image registration. The efficiency of the metric...
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Multi-knowledge resources-based semantic similarity models with application for movie recommender system
In recent years, researchers have proposed several feature-based methods to measure semantic similarity using knowledge resources like Wikipedia and...
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Similarity modifiers for enhancing the recommender system performance
Matching users or items is the cornerstone for the success story of the recommender systems. This importance drives many efforts for enhancing the...
