All Relations between representation and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Lin Xiao, Yuanfang Zhang, Wenqian Huang, Lei Jia, Xieping Ga. A Dynamic Parameter Noise-Tolerant Zeroing Neural Network for Time-Varying Quaternion Matrix Equation With Applications. IEEE transactions on neural networks and learning systems. vol PP. 2023-04-04. PMID:37015615. as a common and significant problem in the field of industrial information, the time-varying quaternion matrix equation (tv-qme) is considered in this article and addressed by an improved zeroing neural network (znn) method based on the real representation of the quaternion. 2023-04-04 2023-08-14 Not clear
Ketson R M Dos Santos, Maria I Katsidoniotaki, Eliza C Miller, Nils H Petersen, Randolph S Marshall, Ioannis A Kougioumtzoglo. Reduced-order modeling and analysis of dynamic cerebral autoregulation via diffusion maps. Physiological measurement. 2023-03-24. PMID:36963111. next, an eigenvalue analysis of the markov matrix of a random walk on a graph over the dataset domain yields a low-dimensional representation of the intrinsic dynamics. 2023-03-24 2023-08-14 Not clear
Emese Tóth, Balázs Bánhelyi, Olivér Fekete, Mária Cset. Metamaterial properties of Babinet complementary complex structures. Scientific reports. vol 13. issue 1. 2023-03-23. PMID:36949209. the location of the negative index can be predicted based on the copolarized transmittance signals computed for circularly polarized light illumination by using the linear base representation of jones transmission matrix elements. 2023-03-23 2023-08-14 Not clear
Peter Carbonetto, Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott, Matthew Stephen. Interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. bioRxiv : the preprint server for biology. 2023-03-22. PMID:36945441. "parts-based" representations of data, such as non-negative matrix factorization and topic modeling, have been used to identify structure from single-cell sequencing data sets, in particular structure that is not as well captured by clustering or other dimensionality reduction methods. 2023-03-22 2023-08-14 Not clear
Yan Oueis, Georgii N Sizov, Viktor N Starovero. Local Potentials Reconstructed within Linearly Independent Product Basis Sets of Increasing Size. The journal of physical chemistry. A. 2023-03-10. PMID:36898043. given a matrix representation of a local potential 2023-03-10 2023-08-14 Not clear
Olivier Bouazi. Fast approximations of pseudo-observations in the context of right censoring and interval censoring. Biometrical journal. Biometrische Zeitschrift. 2023-02-27. PMID:36843309. an asymptotic representation of the pseudo-observations is derived involving the hessian matrix and the score vector. 2023-02-27 2023-08-14 Not clear
Christoph Bannwarth, Todd J Martíne. SQMBox: Interfacing a semiempirical integral library to modular ab initio electronic structure enables new semiempirical methods. The Journal of chemical physics. vol 158. issue 7. 2023-02-23. PMID:36813714. we present an approach to unify ab initio and semiempirical electronic structure code paths based on a separation of the wavefunction ansatz and the needed matrix representations of operators. 2023-02-23 2023-08-14 Not clear
Jiatian Pi, Chaoyang Luo, Fen Xia, Ning Jiang, Haiying Wu, Zhiyou W. Improving the adversarial transferability with relational graphs ensemble adversarial attack. Frontiers in neuroscience. vol 16. 2023-02-23. PMID:36817095. for this time-consuming problem, we define the vector representation of the model, extract the dependency matrix, and then equivalently simplify the sub-optimization problem by utilizing the dependency matrix. 2023-02-23 2023-08-14 Not clear
Xuhan Liu, Kai Ye, Herman W T van Vlijmen, Adriaan P IJzerman, Gerard J P van Weste. DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning. Journal of cheminformatics. vol 15. issue 1. 2023-02-21. PMID:36803659. in order to deal with the graph representation of molecules a novel positional encoding for each atom and bond based on an adjacency matrix was proposed, extending the architecture of the transformer. 2023-02-21 2023-08-14 Not clear
João Paulo Pereira Zanetti, Lucas Peres Oliveira, Leonid Chindelevitch, João Meidani. Generalizations of the Genomic Rank Distance to Indels. Bioinformatics (Oxford, England). 2023-02-15. PMID:36790056. we approach this generalization by using a matrix representation of genomes. 2023-02-15 2023-08-14 Not clear
Xutao Li, Michael K Ng, Guangning Xu, Andy Yi. Multi-relational graph convolutional networks: Generalization guarantees and experiments. Neural networks : the official journal of the International Neural Network Society. vol 161. 2023-02-12. PMID:36774871. first, we develop a matrix representation of various tensor operations underneath mrgcns to simplify the analysis significantly. 2023-02-12 2023-08-14 Not clear
Wenhao Yuan, Xiaoyan Lu, Rongfen Zhang, Yuhong Li. FCKDNet: A Feature Condensation Knowledge Distillation Network for Semantic Segmentation. Entropy (Basel, Switzerland). vol 25. issue 1. 2023-01-21. PMID:36673266. then, the obtained feature condensation matrix is applied to the original outputs of the teacher and student networks to improve the feature representation capability. 2023-01-21 2023-08-14 human
Matthew D Horner, Andrew Hallam, Jiannis K Pacho. Chiral Spin-Chain Interfaces Exhibiting Event-Horizon Physics. Physical review letters. vol 130. issue 1. 2023-01-20. PMID:36669219. we demonstrate that this representation is faithful both analytically, by employing bosonization to obtain a luttinger liquid model, and numerically, by employing matrix product state methods. 2023-01-20 2023-08-14 Not clear
Hadis Kalantar-Hormozi, Raihaan Patel, Alyssa Dai, Justine Ziolkowski, Hao-Ming Dong, Avram Holmes, Armin Raznahan, Gabriel A Devenyi, M Mallar Chakravart. A cross-sectional and longitudinal study of human brain development: the integration of cortical thickness, surface area, gyrification index, and cortical curvature into a unified analytical framework. NeuroImage. 2023-01-19. PMID:36657692. neuroanatomical covariance was examined using non-negative matrix factorization (nmf), which decomposes covariance resulting in a parts-based representation. 2023-01-19 2023-08-14 human
Åshild Telle, James D Trotter, Xing Cai, Henrik Finsberg, Miroslav Kuchta, Joakim Sundnes, Samuel T Wal. A cell-based framework for modeling cardiac mechanics. Biomechanics and modeling in mechanobiology. 2023-01-05. PMID:36602715. here we present a mathematical and numerical framework for exploring tissue-level cardiac mechanics on a microscale given an explicit three-dimensional geometrical representation of cells embedded in a matrix. 2023-01-05 2023-08-14 Not clear
Jian-Fu Zhu, Zhong-Kai Hao, Qi Liu, Yu Yin, Cheng-Qiang Lu, Zhen-Ya Huang, En-Hong Che. Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. Journal of computer science and technology. vol 37. issue 6. 2023-01-03. PMID:36594005. specifically, calm employs a scalable and efficient molecular representation called molecular matrix. 2023-01-03 2023-08-14 Not clear
F William Townes, Barbara E Engelhard. Nonnegative spatial factorization applied to spatial genomics. Nature methods. 2022-12-31. PMID:36587187. nonnegative matrix factorization (nmf) is widely used to analyze high-dimensional count data because, in contrast to real-valued alternatives such as factor analysis, it produces an interpretable parts-based representation. 2022-12-31 2023-08-14 mouse
b' J\\xc3\\xa1nos Abonyi, T\\xc3\\xadmea Czvetk\\xc3\\xb. Hypergraph and network flow-based quality function deployment. Heliyon. vol 8. issue 12. 2022-12-26. PMID:36568657.' 2) qfd is represented as a hypergraph, which allows efficient representation of the interactions of the relationship and correlation matrix and the determination of essential factors based on centrality metrics. 2022-12-26 2023-08-14 Not clear
Iliana Ramírez-Velásquez, Álvaro H Bedoya-Calle, Ederley Vélez, Francisco J Caro-Loper. Shape Theory Applied to Molecular Docking and Automatic Localization of Ligand Binding Pockets in Large Proteins. ACS omega. vol 7. issue 50. 2022-12-26. PMID:36570297. the theorem provides a matrix representation with the exact formulas to be implemented in an algorithm. 2022-12-26 2023-08-14 Not clear
Iliana Ramírez-Velásquez, Álvaro H Bedoya-Calle, Ederley Vélez, Francisco J Caro-Loper. Shape Theory Applied to Molecular Docking and Automatic Localization of Ligand Binding Pockets in Large Proteins. ACS omega. vol 7. issue 50. 2022-12-26. PMID:36570297. the method involves the following results: (1) exact formulae for the shape coordinates of a located-rotated invariant coupled system; (2) a parameterized search based on a suitable domain of van der waals radii; (3) a scoring function for the discrimination of sites by measuring the distance between two invariant coupled systems including the atomic mass; (4) a matrix representation of the lennard-jones potential type 6-12 and 6-10 as the punctuation function of the algorithm for a molecular docking; and (5) the optimal molecular docking as a solution of an optimization problem based on the exploration of an exhaustive set of rotations. 2022-12-26 2023-08-14 Not clear