| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Zhiruo Guo, Bo Liu, Jianxin Ren, Xiangyu Wu, Ying Li, Yaya Mao, Shuaidong Chen, Qing Zhong, Xu Zhu, Yongfeng Wu, Yunyun Che. Modulation format recognition with transfer learning assisted convolutional neural network using multiple Stokes sectional plane image in multi-core fibers. Optics express. vol 30. issue 12. 2022-10-13. PMID:36224908. |
compared with the traditional jones matrix, the stokes space mapping method is insensitive to polarization mixing, carrier frequency skew and phase offset, therefore, it has better feature representation ability. |
2022-10-13 |
2023-08-14 |
Not clear |
| Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Ga. Discrete Metric Learning for Fast Image Set Classification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2022-10-12. PMID:36223352. |
to overcome the shortcoming of dml that relies on the vectorization of riemannian representations, we further develop bilinear discrete metric learning (bdml) to directly manipulate the original riemannian representations and explore the natural matrix structure for high-dimensional data. |
2022-10-12 |
2023-08-14 |
Not clear |
| Hong Qiu, Renfang Wang, Dechao Sun, Xinwei Liu, Liang Zhang, Yunpeng Li. A Smoothed Matrix Multivariate Elliptical Distribution-Based Projection Method for Feature Extraction. Computational intelligence and neuroscience. vol 2022. 2022-10-10. PMID:36211002. |
recently, sparse representation with smoothed matrix multivariate elliptical distribution (smed) using structural information to handle low-rank error images caused by illumination or occlusion has been proposed. |
2022-10-10 |
2023-08-14 |
Not clear |
| Ambre Blanc, Antonio Monari, Jean Christophe Trembla. A posteriori localization of many-body excited states through simultaneous diagonalization. Journal of computational chemistry. 2022-10-10. PMID:36214745. |
a localization metric for the excited states is defined from their representation as electron-hole pairs, which is encoded in the transition density matrix. |
2022-10-10 |
2023-08-14 |
Not clear |
| Sangjin Ahn, Si Eun Lee, Mi-Hyun Ki. Random-forest model for drug-target interaction prediction via Kullbeck-Leibler divergence. Journal of cheminformatics. vol 14. issue 1. 2022-10-03. PMID:36192818. |
for the purpose, e3fp three-dimensional (3d) molecular fingerprints of drugs as a molecular representation allow the computation of 3d similarities between ligands within each target (q-q matrix) to identify the uniqueness of pharmacological targets and those between a query and a ligand (q-l vector) in dtis. |
2022-10-03 |
2023-08-14 |
Not clear |
| Quang H Nguyen, Hoang V Tran, Binh P Nguyen, Trang T T D. Identifying Transcription Factors That Prefer Binding to Methylated DNA Using Reduced ACS omega. vol 7. issue 36. 2022-09-19. PMID:36119976. |
for the tf identification problem, the proposed method uses the position-specific scoring matrix for data representation and a deep convolutional neural network for modeling. |
2022-09-19 |
2023-08-14 |
Not clear |
| Madhumita, Archit Dwivedi, Sushmita Pau. Recursive integration of synergised graph representations of multi-omics data for cancer subtypes identification. Scientific reports. vol 12. issue 1. 2022-09-17. PMID:36115864. |
a parameterised combination function is defined to obtain a synergy matrix from these representation matrices. |
2022-09-17 |
2023-08-14 |
Not clear |
| Jean Barbier, Nicolas Macri. Statistical limits of dictionary learning: Random matrix theory and the spectral replica method. Physical review. E. vol 106. issue 2-1. 2022-09-16. PMID:36109982. |
the proposed method reduces the number of degrees of freedom from Θ(n^{2}) matrix entries to Θ(n) eigenvalues (or singular values), and yields coulomb gas representations of the mutual information which are reminiscent of matrix models in physics. |
2022-09-16 |
2023-08-14 |
Not clear |
| Sofian Al Shboul, Valerie J DeLuca, Yazan Al Dweiri, Tareq Sale. Can 3D Bioprinting Solve the Mystery of Senescence in Cancer Therapy? Ageing research reviews. 2022-09-13. PMID:36100069. |
the current 2d cell modeling is overly simplistic and lacks the appropriate representation of the interactions between tumor cells (senescent or non-senescent) and the other cell types within the tumor microenvironment (tme), as well as with the extracellular matrix (ecm). |
2022-09-13 |
2023-08-14 |
Not clear |
| Yan Oueis, Viktor N Starovero. Reconstruction of Exchange-Correlation Potentials from Their Matrix Representations. Journal of chemical theory and computation. 2022-09-12. PMID:36094818. |
reconstruction of exchange-correlation potentials from their matrix representations. |
2022-09-12 |
2023-08-14 |
Not clear |
| Yan Oueis, Viktor N Starovero. Reconstruction of Exchange-Correlation Potentials from Their Matrix Representations. Journal of chemical theory and computation. 2022-09-12. PMID:36094818. |
using these principles, we construct atomic and molecular exchange-correlation potentials from their matrix representations in lip basis sets of occupied canonical kohn-sham orbitals. |
2022-09-12 |
2023-08-14 |
Not clear |
| Yifan Shi, Zhiwen Yu, C L Philip Chen, Huanqiang Zen. Consensus Clustering With Co-Association Matrix Optimization. IEEE transactions on neural networks and learning systems. vol PP. 2022-09-09. PMID:36083961. |
to improve the co-association matrix by jointly considering the subspace representation, global structure, and local affinity of data, we explicitly propose a unified optimization framework and design an alternating optimization algorithm for the optimal co-association matrix. |
2022-09-09 |
2023-08-14 |
Not clear |
| Di Wu, Xin Luo, Yi He, MengChu Zho. A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE transactions on neural networks and learning systems. vol PP. 2022-09-09. PMID:36083962. |
performing highly accurate representation learning on a high-dimensional and sparse (hids) matrix is of great significance in a big data-related application such as a recommender system. |
2022-09-09 |
2023-08-14 |
Not clear |
| Di Wu, Xin Luo, Yi He, MengChu Zho. A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE transactions on neural networks and learning systems. vol PP. 2022-09-09. PMID:36083962. |
a latent factor (lf) model is one of the most efficient approaches to the hids matrix representation. |
2022-09-09 |
2023-08-14 |
Not clear |
| Di Wu, Xin Luo, Yi He, MengChu Zho. A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE transactions on neural networks and learning systems. vol PP. 2022-09-09. PMID:36083962. |
however, an lf model's representation learning ability relies heavily on an hids matrix's known data density, which is extremely low due to numerous missing data entities. |
2022-09-09 |
2023-08-14 |
Not clear |
| Alexandra Bruefach, Colin Ophus, Mary C Scot. Analysis of Interpretable Data Representations for 4D-STEM Using Unsupervised Learning. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 2022-09-08. PMID:36073035. |
in this article, a pipeline for engineering 4d-stem feature representations for unsupervised clustering using non-negative matrix factorization (nmf) is introduced. |
2022-09-08 |
2023-08-14 |
Not clear |
| Shasha Yuan, Jianwei Mu, Weidong Zhou, Ling-Yun Dai, Jin-Xing Liu, Juan Wang, Xiang Li. Automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2022-09-05. PMID:36063515. |
automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation. |
2022-09-05 |
2023-08-14 |
Not clear |
| Shasha Yuan, Jianwei Mu, Weidong Zhou, Ling-Yun Dai, Jin-Xing Liu, Juan Wang, Xiang Li. Automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2022-09-05. PMID:36063515. |
an automatic detection of epileptic seizure method based on kernel-based robust probabilistic collaborative representation (procrc) combined with graph-regularized non-negative matrix factorization (gnmf) is proposed in this work. |
2022-09-05 |
2023-08-14 |
Not clear |
| Zhichao Ye, Guanglin Li, Haomin Liu, Zhaopeng Cui, Hujun Bao, Guofeng Zhan. CoLi-BA: Compact Linearization based Solver for Bundle Adjustment. IEEE transactions on visualization and computer graphics. vol PP. 2022-09-01. PMID:36048987. |
specifically, for each reprojection function, the redundant matrix representation of jacobian is replaced with a tiny 3d vector, by which the computational complexity, memory storage, and cache missing for hessian matrix construction and schur complement are significantly reduced. |
2022-09-01 |
2023-08-14 |
Not clear |
| Lucas Joos, Sabrina Jaeger-Honz, Falk Schreiber, Daniel A Keim, Karsten Klei. Visual Comparison of Networks in VR. IEEE transactions on visualization and computer graphics. vol PP. 2022-09-01. PMID:36048995. |
we incorporate the results into a more extensive user study comparing node-link representations with matrix representations encoding two networks simultaneously. |
2022-09-01 |
2023-08-14 |
Not clear |