Nonnegative tensor factorization for contaminant source identification
Journal of Contaminant Hydrology, 2019 Unsupervised Machine Learning (ML) is becoming increasingly popular for solving various types of data analytics problems including feature extraction, blind source separation, exploratory analyses, model diagnostics, etc. Here, we have developed a new unsupervised ML method based on Nonnegative Tensor Factorization (NTF) for identification of the ...
Velimir V. Vesselinov +2 more
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Model Selection for Non-Negative Tensor Factorization with Minimum Description Length
Entropy, 2019 Non-negative tensor factorization (NTF) is a widely used multi-way analysis approach that factorizes a high-order non-negative data tensor into several non-negative factor matrices.
Yunhui Fu +2 more
doaj +1 more source
Non-Negative Tensor Factorization Applied to Music Genre Classification [PDF]
, 2010 Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings.
Benetos, E., Kotropoulos, C.
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A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality [PDF]
, 2017 Symmetric nonnegative matrix factorization (SymNMF) has important applications in data analytics problems such as document clustering, community detection and image segmentation.
Hong, Mingyi +4 more
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Mobility Mining Using Nonnegative Tensor Factorization [PDF]
, 2017 Mobility mining has lots of applications in urban planning and transportation systems. In particular, extracting mobility patterns enables service providers to have a global insight about the mobility behaviors which consequently leads to providing better services to the citizens.
Hamid Eslami Nosratabadi +2 more
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Segmentation of Infant Brain Using Nonnegative Matrix Factorization
Applied Sciences, 2022 This study develops an atlas-based automated framework for segmenting infants’ brains from magnetic resonance imaging (MRI). For the accurate segmentation of different structures of an infant’s brain at the isointense age (6–12 months), our framework ...
Norah Saleh Alghamdi +9 more
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Application of Non-Negative Tensor Factorization for Airport Flight Delay Pattern Recognition
IEEE Access, 2019 With the rapid development of civil aviation transportation in China, huge demand growth has broken the balance between supply and demand, resulting in airspace congestion and increasing flight delays.
Han Zhong +3 more
doaj +1 more source
Non-Negative Tensor Factorization for Human Behavioral Pattern Mining in Online Games
Information, 2018 Multiplayer online battle arena is a genre of online games that has become extremely popular. Due to their success, these games also drew the attention of our research community, because they provide a wealth of information about human online ...
Anna Sapienza +2 more
doaj +1 more source
Blind separation of underdetermined mixtures with additive white and pink noises [PDF]
, 2014 This paper presents an approach for underdetermined blind source separation in the case of additive Gaussian white noise and pink noise. Likewise, the proposed approach is applicable in the case of separating I + 3 sources from I mixtures with additive
Alshabrawy, Ossama +3 more
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Coding-Based Informed Source Separation: Nonnegative Tensor Factorization Approach [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2013 Informed source separation (ISS) aims at reliably recovering sources from a mixture. To this purpose, it relies on the assumption that the original sources are available during an encoding stage. Given both sources and mixture, a side-information may be computed and transmitted along with the mixture, whereas the original sources are not available any ...
Ozerov, Alexey +3 more
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