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SQPMF: successive point of interest recommendation system based on probability matrix factorization
With the development of Location-Based Social Networks, successive Point Of Interest (POI) recommendation systems have become a hot spot in the field...
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Generalized Implicit Factorization Problem
The Implicit Factorization Problem (IFP) was first introduced by May and Ritzenhofen at PKC’09, which concerns the factorization of two RSA moduli...
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Progress in the prime factorization of large numbers
Large number factorization is not only the most critical entry point for Rivest–Shamir–Adleman (RSA) security analysis, but also the most direct...
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Study on Implementation of Shor’s Factorization Algorithm on Quantum Computer
The fundamental security aspect of the classical crypto-system depends on integer factorization and discrete logarithm problems. The quantum...
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Leveraging Non-negative Matrix Factorization for Document Summarization
This paper outlines the doctoral research work carried out to develop unsupervised approaches for extractive single document summarization using...
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Parallel Hybrid-Heterogeneous Single Value Decomposition Factorization
SVD factorization is a fundamental operation to solve problems in chemistry, biology, physics, and engineering. These problems are image processing,...
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Coupled Non-negative Matrix Factorization with Deep Part-Based Feature Learning for Low-Resolution Image Recognition
The existing low-resolution (LR) image recognition methods based on coupled relationship learning of high- and low-resolution images usually take...
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Research on multi-context aware recommendation methods based on tensor factorization
Compared to the traditional recommender systems, context-aware recommender systems are more in line with actual application contexts. However, the...
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Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction
Nowadays, more and more scholars and related studies have shown that circular RNA (circRNA) is related to the occurrence and development of human...
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One Step Large-Scale Multi-view Subspace Clustering Based on Orthogonal Matrix Factorization with Consensus Graph Learning
Multi-view clustering has always been a widely concerned issue due to its wide range of applications. Since real-world datasets are usually very...
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Bi-convolution Matrix Factorization Algorithm Based on Improved ConvMF
In order to solve the sparsity problem of the traditional matrix factorization algorithm and the problem of the low utilization for review document...
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Multiview Learning via Non-negative Matrix Factorization for Clustering Applications
Multiview clustering is to more fully use the information between views to guide the division of data points, and multiview data is often accompanied...
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Collaborative Matrix Factorization with Soft Regularization for Drug-Target Interaction Prediction
Identifying the potential drug-target interactions (DTI) is critical in drug discovery. The drug-target interaction prediction methods based on...
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Fusion High-Order Information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection
Community detection plays an important role in understanding the structures and functions of complex networks. Due to their simplicity, flexibility,...
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A Matrix Factorization-Based Drug-Virus Link Prediction Method for SARS-CoV-2 Drug Prioritization
Matrix factorization (MF) has been widely used in drug discovery for link prediction, which aims to reveal new drug-target links by integrating...
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Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making
Nonnegative matrix factorization is comprehensively used in recommendation systems. In an effort to reduce the recommended cost of newly added...
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Adaptive recurrent nonnegative matrix factorization with phase compensation for Single-Channel speech enhancement
The speech signals are affected by the background noise distortion that is unfavorable to both the intelligibility as well as the speech quality....
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Joint Matrix Factorization and Structure Preserving for Domain Adaptation
Domain adaptation aims to learn robust classifiers for the target domain by transferring knowledge from the labeled source domain. However, most of...
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Off-diagonal symmetric nonnegative matrix factorization
Symmetric nonnegative matrix factorization (symNMF) is a variant of nonnegative matrix factorization (NMF) that allows handling symmetric input...
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Matrix Factorization and Topic Modeling
Most document collections are defined by document-term matrices in which the rows (or columns) are highly correlated with one another. These...