| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, Yicong Zho. Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering. IEEE transactions on neural networks and learning systems. vol PP. 2021-05-21. PMID:33651701. |
in addition, they usually employ different regularizers to learn the representation tensor or matrix from which a transition probability matrix is constructed in a separate step, such as the one proposed by wu et al.. |
2021-05-21 |
2023-08-13 |
Not clear |
| Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, Yicong Zho. Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering. IEEE transactions on neural networks and learning systems. vol PP. 2021-05-21. PMID:33651701. |
to solve these issues, we propose a unified model for multiview spectral clustering by directly learning an adaptive transition probability matrix (mca^2m), rather than an individual representation matrix of each view. |
2021-05-21 |
2023-08-13 |
Not clear |
| Konstantin Clauß, Felix Kunzmann, Arnd Bäcker, Roland Ketzmeric. Universal intensity statistics of multifractal resonance states. Physical review. E. vol 103. issue 4-1. 2021-05-19. PMID:34005999. |
we numerically support the conjecture by studying the phase-space husimi function and the position representation of resonance states of the chaotic standard map, the baker map, and a random matrix model, each with partial escape. |
2021-05-19 |
2023-08-13 |
Not clear |
| Jakub Kopal, Anna Pidnebesna, David Tomeček, Jaroslav Tintěra, Jaroslav Hlink. Typicality of functional connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases, and preprocessing pipelines. Human brain mapping. vol 41. issue 18. 2021-05-18. PMID:32881215. |
it has been widely suggested that the functional connectivity matrix is a useful approximate representation of the brain's connectivity, potentially providing behaviorally or clinically relevant markers. |
2021-05-18 |
2023-08-13 |
human |
| Zhou Tao, Huo Bingqiang, Lu Huiling, Yang Zaoli, Shi Hongbi. NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image. BioMed research international. vol 2020. 2021-05-17. PMID:33490248. |
lung tumors in chest ct image based on nonnegative, sparse, and collaborative representation classification of densenet (densenet-nscr) are proposed by this paper: firstly, initialization parameters of pretrained densenet model using transfer learning; secondly, training densenet using ct images to extract feature vectors for the full connectivity layer; thirdly, a nonnegative, sparse, and collaborative representation (nscr) is used to represent the feature vector and solve the coding coefficient matrix; fourthly, the residual similarity is used for classification. |
2021-05-17 |
2023-08-13 |
Not clear |
| Helga Pankoke, Irena Maus, Gunnar Loh, Andrea Hüser, Jana Seifert, Alexandra Tilker, Sarah Hark, Alexander Sczyrba, Stefan Pelzer, Jessica Kleinböltin. F5Evaluation of commercially available DNA extraction kits for the analysis of the broiler chicken cecal microbiota. FEMS microbiology letters. 2021-05-14. PMID:30915459. |
in conclusion, the removal of pcr inhibitors from the sample matrix seemed to be one of the main drivers for a consistent representation of the bacterial community even of low abundant taxa in chicken cecum samples. |
2021-05-14 |
2023-08-13 |
chicken |
| Wenlong Hang, Wei Feng, Shuang Liang, Qiong Wang, Xuejun Liu, Kup-Sze Cho. Deep stacked support matrix machine based representation learning for motor imagery EEG classification. Computer methods and programs in biomedicine. vol 193. 2021-05-14. PMID:32283388. |
deep stacked support matrix machine based representation learning for motor imagery eeg classification. |
2021-05-14 |
2023-08-13 |
Not clear |
| Dayou Zhang, Matthew R Hermes, Laura Gagliardi, Donald G Truhla. Multiconfiguration Density-Coherence Functional Theory. Journal of chemical theory and computation. vol 17. issue 5. 2021-05-11. PMID:33818081. |
this theory provides a new route to define density functionals for multiconfiguration wave functions, in particular by using the one-particle density matrix in the coordinate representation. |
2021-05-11 |
2023-08-13 |
Not clear |
| Cui-Na Jiao, Ying-Lian Gao, Na Yu, Jin-Xing Liu, Lian-Yong Q. Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE journal of biomedical and health informatics. vol 24. issue 10. 2021-05-07. PMID:32086224. |
non-negative matrix factorization (nmf) is a dimensionality reduction approach for learning a parts-based and linear representation of non-negative data. |
2021-05-07 |
2023-08-13 |
Not clear |
| Dietmar Bauer, Rainer Buschmeie. Asymptotic Properties of Estimators for Seasonally Cointegrated State Space Models Obtained Using the CVA Subspace Method. Entropy (Basel, Switzerland). vol 23. issue 4. 2021-05-02. PMID:33918005. |
in these cases the vector error correction representation (vecm) of the vector autoregressive (var) model is not very helpful as it demands the parameterization of one matrix per seasonal unit root. |
2021-05-02 |
2023-08-13 |
Not clear |
| Lincong Wang, Chen Cao, Shuxue Zu. Protein secondary structure assignment using pc-polyline and convolutional neural network. Proteins. 2021-04-29. PMID:33780034. |
one salient feature of pc-polyline representation is that the secondary structure of a protein becomes recognizable in a matrix whose elements are the pairwise distances between two peptide plane centers. |
2021-04-29 |
2023-08-13 |
Not clear |
| Zhao-Hui Qi, Ke-Cheng Li, Jin-Long Ma, Yu-Hua Yao, Ling-Yun Li. Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application. Evolutionary bioinformatics online. vol 14. 2021-04-28. PMID:29977111. |
in this article, we propose a 3-dimensional graphical representation of protein sequences based on 10 physicochemical properties of 20 amino acids and the blosum62 matrix. |
2021-04-28 |
2023-08-13 |
Not clear |
| Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jian. Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE/ACM transactions on computational biology and bioinformatics. vol 17. issue 3. 2021-04-26. PMID:28961122. |
to integrate information from multiple views, data integration approaches such as nonnegative matrix factorization (nmf) have been developed to combine multiple heterogeneous data simultaneously to obtain a comprehensive representation. |
2021-04-26 |
2023-08-13 |
human |
| Xin Li, Yu Yang, Wang Ping, Wang Jian, Junsheng Chen. A bearing fault diagnosis scheme with statistical-enhanced covariance matrix and Riemannian maximum margin flexible convex hull classifier. ISA transactions. vol 111. 2021-04-19. PMID:33272589. |
to achieve more appropriate fault feature representation for bearing, a statistical-enhanced covariance matrix (secm) is proposed to extract the global-local features and the interaction of them. |
2021-04-19 |
2023-08-13 |
Not clear |
| Abhirup Datta, Sudipto Banerjee, James S Hodges, Leiwen Ga. Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models. Bayesian analysis. vol 14. issue 4. 2021-04-18. PMID:33859772. |
we propose a new parametric model for the precision matrix based on a directed acyclic graph (dag) representation of the spatial dependence. |
2021-04-18 |
2023-08-13 |
Not clear |
| Ivana Stanimirova, Michal Daszykowsk. Assessment of the Kernel Gram Matrix Representation of Data in Order to Avoid the Alignment of Chromatographic Signals. Molecules (Basel, Switzerland). vol 26. issue 3. 2021-04-15. PMID:33504096. |
assessment of the kernel gram matrix representation of data in order to avoid the alignment of chromatographic signals. |
2021-04-15 |
2023-08-13 |
Not clear |
| Ivana Stanimirova, Michal Daszykowsk. Assessment of the Kernel Gram Matrix Representation of Data in Order to Avoid the Alignment of Chromatographic Signals. Molecules (Basel, Switzerland). vol 26. issue 3. 2021-04-15. PMID:33504096. |
in particular, the potential of the kernel gram matrix representation as an alternative to the necessary and time-consuming alignment step is evaluated. |
2021-04-15 |
2023-08-13 |
Not clear |
| Carlos A Loz. RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations. PeerJ. Computer science. vol 5. 2021-04-06. PMID:33816845. |
sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. |
2021-04-06 |
2023-08-13 |
Not clear |
| Feiping Nie, Xia Dong, Xuelong L. Unsupervised and Semisupervised Projection With Graph Optimization. IEEE transactions on neural networks and learning systems. vol 32. issue 4. 2021-04-05. PMID:32324573. |
it learns the graph similarity matrix adaptively based on the relationships among the low-dimensional representations. |
2021-04-05 |
2023-08-13 |
Not clear |
| Ning Wang, Jun Zhang, Bin Li. IDRBP-PPCT: Identifying nucleic acid-binding proteins based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2021-03-29. PMID:33780341. |
in this study, we proposed a novel protein representation method called position-specific scoring matrix (pssm) and position-specific frequency matrix (psfm) cross transformation (ppct) to represent protein sequences. |
2021-03-29 |
2023-08-13 |
Not clear |