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A semantic-consistency asymmetric matrix factorization hashing method for cross-modal retrieval
Hashing methods have recently received widespread attention due to their flexibility and effectiveness for cross-modal retrieval tasks. However,...
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The detection of community health surveillance using distributed semantic assisted non-negative matrix factorization on topic modeling through sentiment analysis
Social networks are the most important stage in achieving big data in the discipline of health, with tweets from anywhere in the world currently...
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Edge data based trailer inception probabilistic matrix factorization for context-aware movie recommendation
The rapid growth of edge data generated by mobile devices and applications deployed at the edge of the network has exacerbated the problem of...
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Total positivity and accurate computations with Gram matrices of Bernstein bases
In this paper, an accurate method to construct the bidiagonal factorization of Gram (mass) matrices of Bernstein bases of positive and negative...
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Context-aware API recommendation using tensor factorization
An activity constantly engaged by most programmers in coding is to search for appropriate application programming interfaces (APIs). Contextual...
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Tall-and-Skinny QR Factorization for Clusters of GPUs Using High-Performance Building Blocks
We build a message-passing realization of the QR factorization for tall-and-skinny matrices on top of highly parallel linear algebra kernels, such as...
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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...
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Riemannian optimization methods for the truncated Takagi factorization
This paper focuses on algorithms for the truncated Takagi factorization of complex symmetric matrices. The problem is formulated as a Riemannian...
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Time-varying graph representation learning via higher-order skip-gram with negative sampling
Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other...
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Metamorphic malware detection using structural features and nonnegative matrix factorization with hidden markov model
Metamorphic malware modifies its code structure using a morphing engine to evade traditional signature-based detection. Previous research has shown...
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Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization
Tracking of document collections over time (or across domains) is helpful in several applications such as finding dynamics of terminologies,...
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Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems
In this paper, we focus on the distributed parallel computation of tall-skinny QR factorization. Among various numerical algorithms, we evaluate the...
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Attributed Non-negative Matrix Multi-factorization for Data Representation
Non-negative matrix factorization (NMF) is an important method of latent data representation learning. Most of the existing NMF methods focus only on...
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Some Remarks on Super-Gram Operators for General Bipartite Quantum States
The Gramian matrices approach to study certain aspects of quantum entanglement contained in the bipartite pure quantum states is being extended to...
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QR Factorization of Block Low-Rank Matrices on Multi-instance GPU
The QR factorization, which is a fundamental operation in linear algebra, is used extensively in scientific simulations. The acceleration and memory...
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A review on matrix completion for recommender systems
Recommender systems that predict the preference of users have attracted more and more attention in decades. One of the most popular methods in this...
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Efficient and Scalable Kernel Matrix Approximations Using Hierarchical Decomposition
With the emergence of Artificial Intelligence, numerical algorithms are moving towards more approximate approaches. For methods such as PCA or...
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Classic Recommendation Algorithms
This chapter introduces four types of classic recommendation algorithms, including content-based recommendation algorithms, classic collaborative...
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AutoFM: an efficient factorization machine model via probabilistic auto-encoders
Studies show that conventional factorization machines (FMs) have low performance in capturing both local and global structures of user–item...
