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Self-Similarity Block for Deep Image Denoising
Non-Local Self-Similarity (NLSS) is a widely exploited prior in image denoising algorithms. The first deep Convolutional Neural Networks (CNNs) for...
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Medical Decision-Making and Pattern Recognition Via an Advanced Similarity Measure Based on Single-Valued Neutrosophic Sets
In the present article, we introduce a new and improved Single-Valued Neutrosophic Sets (SVNSs)-based similarity measure. SVNSs, which are a...
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Towards Effective Trajectory Similarity Measure in Linear Time
With the utilization of GPS devices and the development of location-based services, a massive amount of trajectory data has been collected and mined...
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Identifying the systemic importance and systemic vulnerability of financial institutions based on portfolio similarity correlation network
The indirect correlation among financial institutions, stemming from similarities in their portfolios, is a primary driver of systemic risk. However,...
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Centrality-based and similarity-based neighborhood extension in graph neural networks
In recent years, Graph Neural Networks (GNNs) have become a key technique to address various graph-based machine learning tasks. Most of existing...
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SPSD: Similarity-preserving self-distillation for video–text retrieval
Most of existing methods solve cross-modal video and text retrieval via coarse-grained similarity computation based on global representations or...
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The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval
Most papers on similarity retrieval present experiments executed on an assortion of complex datasets. However, no work focuses on analyzing the...
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Consensus similarity graph construction for clustering
A similarity graph represents the local characteristics of a data set, and it is used as input to various clustering methods including spectral,...
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A modified fuzzy similarity measure for trapezoidal fuzzy number with their applications
The similarity measure (SM) of fuzzy numbers is vital in decision-making, ranking, and risk analysis, particularly when dealing with qualitative...
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Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering
With accelerated advancement of web 2.0, developers generally describe the functionality of services in short natural text. Keyword-based searching...
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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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Multi-view clustering indicator learning with scaled similarity
The similarity of data plays an important role in clustering task, and good clustering performance often requires a reliable similarity matrix. A...
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Series2vec: similarity-based self-supervised representation learning for time series classification
We argue that time series analysis is fundamentally different in nature to either vision or natural language processing with respect to the forms of...
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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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Multi-attribute Cognitive Decision Making via Convex Combination of Weighted Vector Similarity Measures for Single-Valued Neutrosophic Sets
Similarity measure (SM) proves to be a necessary tool in cognitive decision making processes. A single-valued neutrosophic set (SVNS) is just a...
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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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Postimpact similarity: a similarity measure for effective grou** of unlabelled text using spectral clustering
The task of text clustering is to partition a set of text documents into different meaningful groups such that the documents in a particular cluster...
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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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Enhancing Multi-Attribute Similarity Join using Reduced and Adaptive Index Trees
Multi-Attribute Similarity Join represents an important task for a variety of applications. Due to a large amount of data, several techniques and...
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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...
