All Relations between representation and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Shuguang Ge, Jian Liu, Yuhu Cheng, Xiaojing Meng, Xuesong Wan. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping. Briefings in bioinformatics. 2022-11-29. PMID:36445207. first, msclrl generates a corresponding low-dimensional latent representation for each omics data, which can effectively retain the unique information of each omics and improve the robustness and accuracy of the similarity matrix. 2022-11-29 2023-08-14 Not clear
Shuguang Ge, Jian Liu, Yuhu Cheng, Xiaojing Meng, Xuesong Wan. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping. Briefings in bioinformatics. 2022-11-29. PMID:36445207. second, the obtained latent representations are assigned appropriate weights by msclrl, and global similarity learning is performed to generate an integrated similarity matrix. 2022-11-29 2023-08-14 Not clear
Shuguang Ge, Jian Liu, Yuhu Cheng, Xiaojing Meng, Xuesong Wan. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping. Briefings in bioinformatics. 2022-11-29. PMID:36445207. third, the integrated similarity matrix is used to feed back and update the low-dimensional representation of each omics. 2022-11-29 2023-08-14 Not clear
Víctor Manuel Garrido, Oscar Danilo Montoya, Ángeles Medina-Quesada, Jesus C Hernánde. Optimal Reactive Power Compensation in Distribution Networks with Radial and Meshed Structures Using D-STATCOMs: A Mixed-Integer Convex Approach. Sensors (Basel, Switzerland). vol 22. issue 22. 2022-11-26. PMID:36433275. to represent the electrical behavior of the distribution networks, a power flow formulation is used which includes voltages, currents, and power as variables via incidence matrix representation. 2022-11-26 2023-08-14 Not clear
Yurong Qian, Jingjing Zheng, Ying Jiang, Shaoqiu Li, Lei Den. Prediction of circRNA-miRNA Association using Singular Value Decomposition and Graph Neural Networks. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2022-11-17. PMID:36395130. specifically, graph neural networks are used to learn nonlinear feature representations of nodes, followed by matrix factorization algorithms to learn linear feature representations of nodes, and then combined feature representations learned from different perspectives. 2022-11-17 2023-08-14 human
Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Che. DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder. Briefings in bioinformatics. 2022-11-15. PMID:36377749. second, we reduced feature dimensionality on the integrated matrix using a deep autoencoder to obtain the potential feature representation of each small molecule-mirna pair. 2022-11-15 2023-08-14 human
Hamza Hentabli, Billel Bengherbia, Faisal Saeed, Naomie Salim, Ibtehal Nafea, Abdelmoughni Toubal, Maged Nasse. Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction. International journal of molecular sciences. vol 23. issue 21. 2022-11-11. PMID:36362018. the molecules are represented in the new matrix format mol2mat, a molecular matrix representation adapted from the well-known 2d-fingerprint descriptors. 2022-11-11 2023-08-14 Not clear
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yi. Multi-attribute Subspace Clustering via Auto-weighted Tensor Nuclear Norm Minimization. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2022-11-10. PMID:36355733. a more comprehensive subspace representation can be obtained via aggregating these multi-attribute representations, which can be used to construct a clustering-friendly affinity matrix. 2022-11-10 2023-08-14 Not clear
M-Marsel Mesula. Temporopolar regions of the human brain. Brain : a journal of neurology. 2022-11-04. PMID:36331542. one function of this neural matrix is to support the transformation of object and word representations from unimodal percepts to multimodal concepts. 2022-11-04 2023-08-14 human
Xingyu Zhang, Yanling You, Yaying Sun, Xiang Guo, Han Lin, Ming Zong, Jianlin Sh. Catalytic anti-oxidative stress for osteoarthritis treatment by few-layered phosphorene. Materials today. Bio. vol 17. 2022-11-03. PMID:36325424. as one of the most common representations of articular cartilage damage, osteoarthritis (oa) is characterized by the apoptosis and dysfunction of chondrocytes as well as the progressive degradation of extracellular matrix, of which the main components are glycosaminoglycan and type Ⅱ collagen. 2022-11-03 2023-08-14 Not clear
Surabhi Jagtap, Abdulkadir Çelikkanat, Aurélie Pirayre, Frédérique Bidard, Laurent Duval, Fragkiskos D Malliaro. BraneMF: Integration of Biological Networks for Functional Analysis of Proteins. Bioinformatics (Oxford, England). 2022-11-02. PMID:36321881. we propose branemf, a novel random walk-based matrix factorization method for learning node representation in a multilayer network, with application to omics data integration. 2022-11-02 2023-08-14 Not clear
Lu Zou, Zhangjin Huang, Naijie Gu, Guoping Wan. 6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-Based Instance Representation Learning. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2022-10-31. PMID:36315551. then, dense instance representations (i.e., correspondence matrix and deformation field) for nocs model reconstruction are obtained from a multisource aggregation (msa) network with shape prior, appearance and geometric information as inputs. 2022-10-31 2023-08-14 Not clear
Kisung You, Hae-Jeong Par. Geometric learning of functional brain network on the correlation manifold. Scientific reports. vol 12. issue 1. 2022-10-23. PMID:36273234. the correlation matrix is a typical representation of node interactions in functional brain network analysis. 2022-10-23 2023-08-14 Not clear
Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Xiuping Jia, Licheng Jia. Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification. IEEE transactions on neural networks and learning systems. vol PP. 2022-10-21. PMID:36269924. a dynamic pixel-level feature update strategy is then applied to the region-level adjacency matrix, which can help dmsger learn the pixel representation dynamically. 2022-10-21 2023-08-14 Not clear
Ya-Li Mao, Zheng-Da Li, Sixia Yu, Jingyun Fa. Test of Genuine Multipartite Nonlocality. Physical review letters. vol 129. issue 15. 2022-10-21. PMID:36269952. here, we provide a bell-type inequality as a test for genuine multipartite nonlocality in network by exploiting a matrix representation of the causal structure of a multipartite system. 2022-10-21 2023-08-14 human
Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yuanxu Wang, Qiguo Dai, Xiaodong Dua. ISLMI:Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2022-10-17. PMID:36251906. the model calculated the sequence similarity and gaussian interaction profile kernel similarity between lncrna and mirna, fused them to enhance the intrinsic interaction between the nodes, using sogcn to learn second-order representations of similarity matrix information. 2022-10-17 2023-08-14 Not clear
Xingkang Tian, Fan Wu, Cong Zhang, Wenhao Fan, Yuanan Li. Application of Deep Convolutional Neural Network for Automatic Detection of Digital Optical Fiber Repeater. Sensors (Basel, Switzerland). vol 22. issue 19. 2022-10-14. PMID:36236356. we propose a novel mr representation method that takes the overall mr data of a cell as a sample rather than a single record in the table, and represents the mr data as a pseudo-image matrix (pim). 2022-10-14 2023-08-14 Not clear
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