All Relations between representation and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Juan-Wang Wang, Wang Li-Hong, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun L. Multi-view Random-walk Graph regularization Low-Rank Representation for cancer clustering and Differentially Expressed Gene Selection. IEEE journal of biomedical and health informatics. vol PP. 2022-02-14. PMID:35157604. by constructing a joint affinity matrix to learn the low-rank subspace representation of multiple sets of data, the hidden information of each view is fully obtained. 2022-02-14 2023-08-13 Not clear
Ashlea Frank, Lula Ghebremichael, Leah Duzy, Chad Jones, Richard Brain, Tony Bur. A data accuracy evaluation strategy to improve the representation of potential pesticide use areas for endangered species assessments. Integrated environmental assessment and management. 2022-02-12. PMID:35150032. application of this decision matrix will lead to improved representation of labeled uses and more accurate overlap calculations used in the assessment of potential impacts of pesticides on endangered species. 2022-02-12 2023-08-13 Not clear
A S Mahmud, D S Zachar. A matrix representation for sustainable activities. Scientific reports. vol 12. issue 1. 2022-02-10. PMID:35140236. a matrix representation for sustainable activities. 2022-02-10 2023-08-13 Not clear
Qing Yang, Jun Chen, Najla Al-Nabha. Data representation using robust nonnegative matrix factorization for edge computing. Mathematical biosciences and engineering : MBE. vol 19. issue 2. 2022-02-09. PMID:35135245. data representation using robust nonnegative matrix factorization for edge computing. 2022-02-09 2023-08-13 Not clear
Qing Yang, Jun Chen, Najla Al-Nabha. Data representation using robust nonnegative matrix factorization for edge computing. Mathematical biosciences and engineering : MBE. vol 19. issue 2. 2022-02-09. PMID:35135245. as a popular data representation technique, nonnegative matrix factorization (nmf) has been widely applied in edge computing, information retrieval and pattern recognition. 2022-02-09 2023-08-13 Not clear
Qing Yang, Jun Chen, Najla Al-Nabha. Data representation using robust nonnegative matrix factorization for edge computing. Mathematical biosciences and engineering : MBE. vol 19. issue 2. 2022-02-09. PMID:35135245. although it can learn parts-based data representations, existing nmf-based algorithms fail to integrate local and global structures of data to steer matrix factorization. 2022-02-09 2023-08-13 Not clear
Qing Yang, Jun Chen, Najla Al-Nabha. Data representation using robust nonnegative matrix factorization for edge computing. Mathematical biosciences and engineering : MBE. vol 19. issue 2. 2022-02-09. PMID:35135245. to solve such an issue, we propose a novel semi-supervised nmf approach via joint graph regularization and constraint propagation for edge computing, called robust constrained nonnegative matrix factorization (rcnmf), which learns robust discriminative representations by leveraging the power of both l2, 1-norm nmf and constraint propagation. 2022-02-09 2023-08-13 Not clear
Qing Yang, Jun Chen, Najla Al-Nabha. Data representation using robust nonnegative matrix factorization for edge computing. Mathematical biosciences and engineering : MBE. vol 19. issue 2. 2022-02-09. PMID:35135245. moreover, l2, 1-norm constraints on the factorial matrix are used to ensure the new representation sparse in rows. 2022-02-09 2023-08-13 Not clear
John H Challi. Examination of the ill-conditioning of the inertia matrix used in mechanical analyses. Journal of biomechanics. vol 133. 2022-02-08. PMID:35131678. in a state-space representation of the equations of motion for a system of rigid bodies one component of these equations is the so-called inertia matrix. 2022-02-08 2023-08-13 human
Michel Destine, François-Xavier Hanin, Isabelle Mathieu, Bernard Willemart, Alain Sere. Deconvolution of Tc-99m-Mercaptoacetyltriglycine Renograms with the Concomitant Use of a Sparse Legendre Polynomial Representation and the Moore-Penrose Pseudo-inverse. Molecular imaging and radionuclide therapy. vol 31. issue 1. 2022-02-04. PMID:35114746. this study aimed to introduce an improved deconvolution technique for tc-99m-mercaptoacetyltriglycine renograms based on the combination of a sparse legendre polynomial representation and the moore-penrose inversion matrix (lg). 2022-02-04 2023-08-13 Not clear
Nana Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan-Wang Wan. SLRRSC: single-cell type recognition method based on similarity and graph regularization constraints. IEEE journal of biomedical and health informatics. vol PP. 2022-02-04. PMID:35120014. the graph regularization can preserve the local geometric structure of the data in low-rank decomposition, so that the low-rank representation matrix contains more local structure information. 2022-02-04 2023-08-13 Not clear
Nana Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan-Wang Wan. SLRRSC: single-cell type recognition method based on similarity and graph regularization constraints. IEEE journal of biomedical and health informatics. vol PP. 2022-02-04. PMID:35120014. at the same time, the similarity constraint makes the low-rank representation matrix symmetric, which makes it better interpretable in clustering application. 2022-02-04 2023-08-13 Not clear
Fan Wu, Jiahui Cai, Canhong Wen, Haizhu Ta. Co-sparse Non-negative Matrix Factorization. Frontiers in neuroscience. vol 15. 2022-01-31. PMID:35095402. the non-negative matrix factorization encounters both computational and theoretical challenge with such high-dimensional data, i.e., there is no guarantee for a sparse and part-based representation of data. 2022-01-31 2023-08-13 Not clear
Benoît Tuybens, Jacopo De Nardis, Jutho Haegeman, Frank Verstraet. Variational Optimization of Continuous Matrix Product States. Physical review letters. vol 128. issue 2. 2022-01-28. PMID:35089726. just as matrix product states represent ground states of one-dimensional quantum spin systems faithfully, continuous matrix product states (cmps) provide faithful representations of the vacuum of interacting field theories in one spatial dimension. 2022-01-28 2023-08-13 Not clear
Shaun M Kandathil, Joe G Greener, Andy M Lau, David T Jone. Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins. Proceedings of the National Academy of Sciences of the United States of America. vol 119. issue 4. 2022-01-25. PMID:35074909. when supplemented with an approximate precision matrix, the learned representation can be used to produce structural models of comparable or greater accuracy as compared to our original dmpfold method, while requiring less than a second to produce a typical model. 2022-01-25 2023-08-13 Not clear
Ishfaq Majeed Sheikh, Manzoor Ahmad Chacho. An enforced block diagonal low-rank representation method for the classification of medical image patterns. International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. 2022-01-25. PMID:35075441. whereas, the data is classified by performing the partitioning of the low-rank representation matrix. 2022-01-25 2023-08-13 Not clear
Ishfaq Majeed Sheikh, Manzoor Ahmad Chacho. An enforced block diagonal low-rank representation method for the classification of medical image patterns. International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. 2022-01-25. PMID:35075441. most of the time, the input data pattern is used as the dictionary for learning the representation matrix. 2022-01-25 2023-08-13 Not clear
Qi Li. A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection. BMC bioinformatics. vol 22. issue Suppl 12. 2022-01-21. PMID:35057728. as a matrix factorization, low-rank representation (lrr) has attracted lots of attentions in clustering and feature selection, but sometimes its performance is frustrated when the data samples are insufficient or contain a lot of noise. 2022-01-21 2023-08-13 Not clear
Sajit Kumar, Alicia Nanelia, Ragunathan Mariappan, Adithya Rajagopal, Vaibhav Raja. Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study. JMIR medical informatics. vol 10. issue 1. 2022-01-20. PMID:35049514. patient representation learning from heterogeneous data sources and knowledge graphs using deep collective matrix factorization: evaluation study. 2022-01-20 2023-08-13 Not clear
Amartya Bose, Peter L Walter. A multisite decomposition of the tensor network path integrals. The Journal of chemical physics. vol 156. issue 2. 2022-01-16. PMID:35032978. in order to facilitate the incorporation of the influence functional into a multisite framework (ms-tnpi), we combine a matrix product state (mps) decomposition of the reduced density tensor of the system along the sites with a corresponding tensor network representation of the time axis to construct an efficient 2d tensor network. 2022-01-16 2023-08-13 Not clear