| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Jason R Thomas, Samuel J Clar. More on the cohort-component model of population projection in the context of HIV/AIDS: A Leslie matrix representation and new estimates. Demographic research. vol 25. 2021-10-21. PMID:22403516. |
we extend this work by developing the leslie matrix representation of the ccmpp, which greatly facilitates the implementation of the model for parameter estimation and projection. |
2021-10-21 |
2023-08-12 |
Not clear |
| Robert Peharz, Franz Pernkop. Neurocomputing. vol 80. issue 1. 2021-10-21. PMID:22505792. |
although nonnegative matrix factorization (nmf) favors a sparse and part-based representation of nonnegative data, there is no guarantee for this behavior. |
2021-10-21 |
2023-08-12 |
Not clear |
| Qing Nie, Frederic Y M Wan, Yong-Tao Zhang, Xin-Feng Li. Compact integration factor methods in high spatial dimensions. Journal of computational physics. vol 227. issue 10. 2021-10-20. PMID:19809596. |
for example, a two-dimensional system of n × n spatial points, the exponential matrix is of a size of n(2) × n(2) based on direct representations. |
2021-10-20 |
2023-08-12 |
Not clear |
| Qing Nie, Frederic Y M Wan, Yong-Tao Zhang, Xin-Feng Li. Compact integration factor methods in high spatial dimensions. Journal of computational physics. vol 227. issue 10. 2021-10-20. PMID:19809596. |
the vector-matrix multiplication is of o(n(4)), and the storage of such matrix is usually prohibitive even for a moderate size n. in this paper, we introduce a compact representation of the discretized differential operators for the if and etd methods in both two- and three-dimensions. |
2021-10-20 |
2023-08-12 |
Not clear |
| Alan Maceachren, Xiping Dai, Frank Hardisty, Diansheng Guo, Gene Lengeric. Exploring High-D Spaces with Multiform Matrices and Small Multiples. IEEE Conference on Information Visualization : an International Conference on Computer Visualization & Graphics, proceedings ... IEEE Conference on Information Visualization. 2021-10-20. PMID:21947129. |
first, we develop a general, multiform, bivariate matrix and a complementary multiform, bivariate small multiple plot in which different bivariate representation forms can be used in combination. |
2021-10-20 |
2023-08-12 |
Not clear |
| Yuan Wang, Hongbing Ma, Kuerban Alifu, Yalong L. Remote sensing image description based on word embedding and end-to-end deep learning. Scientific reports. vol 11. issue 1. 2021-10-19. PMID:33542421. |
first, category ambiguity over large-scale regions in remote sensing images is addressed by introducing the co-occurrence matrix and global vectors for word representation to generate the word vector features of the object to be identified. |
2021-10-19 |
2023-08-13 |
Not clear |
| Yifei Liu, Yong-Ung Lee, Tai Yi, Ken Wu, Cedric Bouchet-Marquis, Han Chan, Christopher K Breuer, David W McCom. Surgery and Sample Processing for Correlative Imaging of the Murine Pulmonary Valve. Journal of visualized experiments : JoVE. issue 174. 2021-10-15. PMID:34424247. |
high-resolution serial sem images of the extracellular matrix (ecm) were taken and reconstructed to provide a local 3d representation of its organization. |
2021-10-15 |
2023-08-13 |
Not clear |
| Sina Mansour L, Ye Tian, B T Thomas Yeo, Vanessa Cropley, Andrew Zalesk. High-resolution connectomic fingerprints: Mapping neural identity and behavior. NeuroImage. vol 229. 2021-10-13. PMID:33422711. |
using methods based on sparse matrix representations, we propose a computationally feasible high-resolution connectomic approach that improves neural fingerprinting and behavior prediction. |
2021-10-13 |
2023-08-13 |
Not clear |
| Francisco Galuppo Azevedo, Fabricio Mura. Evaluating the state-of-the-art in mapping research spaces: A Brazilian case study. PloS one. vol 16. issue 3. 2021-10-12. PMID:33735233. |
two recent works propose methods for creating research maps from scientists' publication records: by using a frequentist approach to create a transition probability matrix; and by learning embeddings (vector representations). |
2021-10-12 |
2023-08-13 |
human |
| Elizabeth M Dowding, Malte C Ebach, Evgeny V Mavrodie. Temporal area approach for distributional data in biogeography. Cladistics : the international journal of the Willi Hennig Society. vol 35. issue 4. 2021-10-12. PMID:34633694. |
the resulting temporal matrix will allow the representation and capture of any differing relationships through time. |
2021-10-12 |
2023-08-13 |
Not clear |
| Samy Bakheet, Ayoub Al-Hamad. Automatic detection of COVID-19 using pruned GLCM-Based texture features and LDCRF classification. Computers in biology and medicine. vol 137. 2021-10-08. PMID:34455303. |
this paper presents an innovative framework for the automatic detection of covid-19 from chest x-ray (cxr) images, in which a rich and effective representation of lung tissue patterns is generated from the gray level co-occurrence matrix (glcm) based textural features. |
2021-10-08 |
2023-08-13 |
Not clear |
| Haiyan Wang, Guoqiang Han, Bin Zhang, Guihua Tao, Hongmin Ca. Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-10-08. PMID:34587010. |
however, early works mainly focus on learning essential tensor representation from multi-view data and the resulted affinity matrix is considered as a byproduct or is computed by a simple average in euclidean space, thereby destroying the intrinsic clustering structure. |
2021-10-08 |
2023-08-13 |
Not clear |
| Sergey V Petoukho. Modeling inherited physiological structures based on hyperbolic numbers. Bio Systems. vol 199. 2021-10-04. PMID:33166611. |
the article is devoted to using the mathematics of multi-dimensional hyperbolic numbers and their matrix representations for modeling of different inherited biosystems, which are parts of the holistic body. |
2021-10-04 |
2023-08-13 |
Not clear |
| Isak Holmqvist, Alan Bäckerholm, Yarong Tian, Guojiang Xie, Kaisa Thorell, Ka-Wei Tan. FLAME: long-read bioinformatics tool for comprehensive spliceome characterization. RNA (New York, N.Y.). vol 27. issue 10. 2021-09-29. PMID:34253685. |
flame is a python-based tool aimed at providing comprehensible quantification of full-length splice variants, reliable de novo recognition of splice sites and exons, and representation of consecutive exon connectivity in the form of a weighted adjacency matrix. |
2021-09-29 |
2023-08-13 |
Not clear |
| Jing-Rebecca Li, Try Nguyen Tran, Van-Dang Nguye. Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions. NMR in biomedicine. vol 33. issue 10. 2021-09-28. PMID:32725935. |
a closed form representation of this reference diffusion mri signal called matrix formalism, which makes explicit the link between the laplace eigenvalues and eigenfunctions of the biological cell and its diffusion mri signal, was derived 20 years ago. |
2021-09-28 |
2023-08-13 |
human |
| Jing-Rebecca Li, Try Nguyen Tran, Van-Dang Nguye. Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions. NMR in biomedicine. vol 33. issue 10. 2021-09-28. PMID:32725935. |
in this paper, we present a simulation framework that we have implemented inside the matlab-based diffusion mri simulator spindoctor that efficiently computes the matrix formalism representation for realistic neurons using the finite element method. |
2021-09-28 |
2023-08-13 |
human |
| Jing-Rebecca Li, Try Nguyen Tran, Van-Dang Nguye. Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions. NMR in biomedicine. vol 33. issue 10. 2021-09-28. PMID:32725935. |
we show that the matrix formalism representation requires a few hundred eigenmodes to match the reference signal computed by solving the bloch-torrey equation when the cell geometry originates from realistic neurons. |
2021-09-28 |
2023-08-13 |
human |
| Jian Liu, Shuguang Ge, Yuhu Cheng, Xuesong Wan. Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction. Frontiers in genetics. vol 12. 2021-09-25. PMID:34552619. |
firstly, mrf-msc constructs a smooth representation for each data type, which can be viewed as a sample (patient) similarity matrix. |
2021-09-25 |
2023-08-13 |
Not clear |
| Jian Liu, Shuguang Ge, Yuhu Cheng, Xuesong Wan. Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction. Frontiers in genetics. vol 12. 2021-09-25. PMID:34552619. |
secondly, mrf-msc integrates the smooth representation of multiple omics data to form a similarity matrix containing all biological data information through graph fusion. |
2021-09-25 |
2023-08-13 |
Not clear |
| Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun F. Continual Multiview Task Learning via Deep Matrix Factorization. IEEE transactions on neural networks and learning systems. vol 32. issue 1. 2021-09-23. PMID:32175877. |
more specifically, as a new multiview task arrives, dcmvtl first adopts a deep matrix factorization technique to capture hidden and hierarchical representations for this new coming multiview task while accumulating the fresh multiview knowledge in a layerwise manner. |
2021-09-23 |
2023-08-13 |
Not clear |