All Relations between representation and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Thorsten Hempel, Ahmed A Abdelrahman, Ayoub Al-Hamad. Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-03-22. PMID:38512742. we address the issue of ambiguous rotation labels by introducing the rotation matrix formalism for our ground truth data and propose a continuous 6d rotation matrix representation for efficient and robust direct regression. 2024-03-22 2024-03-24 Not clear
Fatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, Parvin Razzaghi, Jahan B Ghasemi, Mahboubeh Parsaeian, Ali Masoudi-Neja. CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction. Journal of chemical information and modeling. 2024-03-22. PMID:38514966. then, the new cell line representation is computed by multiplying the protein-protein similarity matrix and the initial cell line representation. 2024-03-22 2024-03-24 Not clear
Rui Wang, Xiao-Jun Wu, Ziheng Chen, Cong Hu, Josef Kittle. SPD Manifold Deep Metric Learning for Image Set Classification. IEEE transactions on neural networks and learning systems. vol PP. 2024-03-13. PMID:38470600. specifically, smdml first selects a prevailing spd manifold neural network (spdnet) as the backbone (encoder) to derive an spd matrix nonlinear representation. 2024-03-13 2024-03-15 Not clear
Robin Ristl, Heiko Götte, Armin Schüler, Martin Posch, Franz Köni. Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions. Statistical methods in medical research. 2024-03-11. PMID:38465602. by using the counting process representation of the mentioned parameters, we show that their estimates are asymptotically multivariate normal and we provide an estimate for their covariance matrix. 2024-03-11 2024-03-14 Not clear
Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R Arc. T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations. IEEE transactions on neural networks and learning systems. vol PP. 2024-03-08. PMID:38451750. in this article, we depart from hypergraph matrix representations and present a new tensor-hypergnn (t-hypergnn) framework with cross-node interactions (cnis). 2024-03-08 2024-03-10 Not clear
Jiayang Jiang, Ming Zhang, Aosheng Gu, R J Dwayne Miller, Zheng L. Quantum tomography of molecules using ultrafast electron diffraction. The Journal of chemical physics. vol 160. issue 10. 2024-03-08. PMID:38456529. from the simulated time-resolved diffraction data, we retrieve the evolving density matrix in a crude diabatic representation basis and reveal the symmetry of the excited pyrrole wavepacket. 2024-03-08 2024-03-10 Not clear
Jinrong Cui, Zhipeng He, Qiong Huang, Yulu Fu, Yuting Li, Jie We. Structure-aware contrastive hashing for unsupervised cross-modal retrieval. Neural networks : the official journal of the International Neural Network Society. vol 174. 2024-03-06. PMID:38447425. specifically, we concurrently employ both high-dimensional representations and discriminative representations learned by the network to construct a more informative semantic correlative matrix across modalities. 2024-03-06 2024-03-09 Not clear
Xin Cao, Jia Li, Panpan Zhao, Jiachen Li, Xueying Qi. Corr-Track: Category-Level 6D Pose Tracking with Soft-Correspondence Matrix Estimation. IEEE transactions on visualization and computer graphics. vol PP. 2024-03-05. PMID:38437129. we first introduce a soft correspondence matrix for pose tracking tasks and establish effective constraints through direct spatial point-to-point correspondence representations in the sparse point cloud correspondence matrix. 2024-03-05 2024-03-07 Not clear
Abdullah A Asiri, Ahmad Shaf, Tariq Ali, Muhammad Ahmad Pasha, Aiza Khan, Muhammad Irfan, Saeed Alqahtani, Ahmad Alghamdi, Ali H Alghamdi, Abdullah Fahad A Alshamrani, Magbool Alelyani, Sultan Alamr. Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis. PeerJ. Computer science. vol 10. 2024-03-04. PMID:38435590. utilizing 21 matrices for performance evaluation across all four classes, these matrices provide a detailed insight into the model's behavior throughout the learning process, furthermore showcasing a graphical representation of confusion matrix, training and validation loss and accuracy. 2024-03-04 2024-03-06 Not clear
Petra Csizmadia, Boglárka Nagy, Lili Kővári, Zsófia Anna Gaá. Exploring the role of working memory gate opening process in creativity: An ERP study using the reference-back paradigm. Biological psychology. 2024-02-28. PMID:38417665. our results suggest that groups with different levels of convergent thinking (based on matrix reasoning) and those with lower dt (based on creativity index) tend to select and activate the prefrontal cortex representation containing the required task information at an earlier stage, compared to those with better dt. 2024-02-28 2024-03-02 Not clear
Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zha. A Novel Tensor Ring Sparsity Measurement for Image Completion. Entropy (Basel, Switzerland). vol 26. issue 2. 2024-02-23. PMID:38392360. the matrix rank, served as a measure of data sparsity, quantifies the sparsity within the kronecker basis representation of a given piece of data in the matrix format. 2024-02-23 2024-02-25 Not clear
Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zha. A Novel Tensor Ring Sparsity Measurement for Image Completion. Entropy (Basel, Switzerland). vol 26. issue 2. 2024-02-23. PMID:38392360. nevertheless, in practical scenarios, much of the data are intrinsically multi-dimensional, and thus, using a matrix format for data representation will inevitably yield sub-optimal outcomes. 2024-02-23 2024-02-25 Not clear
Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zha. A Novel Tensor Ring Sparsity Measurement for Image Completion. Entropy (Basel, Switzerland). vol 26. issue 2. 2024-02-23. PMID:38392360. this metric relies on the tensor ring (tr) kronecker basis representation of the tensor, providing a unified interpretation akin to matrix sparsity measurements, wherein the kronecker basis serves as the foundational representation component. 2024-02-23 2024-02-25 Not clear
G Dheepak, Anita Christaline J, D Vaishal. Brain tumor classification: a novel approach integrating GLCM, LBP and composite features. Frontiers in oncology. vol 13. 2024-02-14. PMID:38352298. integrating glcm (gray-level co-occurrence matrix) and lbp (local binary patterns) features offers a comprehensive representation of texture characteristics, enhancing tumor detection and classification precision. 2024-02-14 2024-02-16 Not clear
Haipeng Zhao, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie W. Identification of DNA-protein binding residues through integration of Transformer encoder and Bi-directional Long Short-Term Memory. Mathematical biosciences and engineering : MBE. vol 21. issue 1. 2024-02-02. PMID:38303418. in the context of protein representation, we combine the evolutionary information of the protein, represented by its position-specific scoring matrix, with the spatial information of the protein's secondary structure, enriching the overall informational content. 2024-02-02 2024-02-04 Not clear
Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Ga. Learning deep representation and discriminative features for clustering of multi-layer networks. Neural networks : the official journal of the International Neural Network Society. vol 170. 2024-01-19. PMID:38029721. specifically, drdf learns the deep representation with deep nonnegative matrix factorization, where the high-order topology of the multi-layer network is gradually and precisely characterized. 2024-01-19 2024-01-22 Not clear
Débora Y C Brandt, Christian D Huber, Charleston W K Chiang, Diego Ortega-Del Vecchy. The Promise of Inferring the Past using the Ancestral Recombination Graph (ARG). Genome biology and evolution. 2024-01-19. PMID:38242694. this representation in theory contains as much information, if not more, than the combination of all independent summary statistics that could be derived from the genotype matrix. 2024-01-19 2024-01-22 Not clear
Maoshan Liu, Vasile Palade, Zhonglong Zhen. Learning the consensus and complementary information for large-scale multi-view clustering. Neural networks : the official journal of the International Neural Network Society. vol 172. 2024-01-14. PMID:38219678. to be specific, representative anchor points are selected for each view to construct corresponding anchor representation matrices, and all views' anchor points are utilized to construct a common representation matrix. 2024-01-14 2024-01-17 Not clear
Bei Zhu, Hao-Yang Yu, Bing-Xue Du, Jian-Yu Sh. DMGL-MDA: A dual-modal graph learning method for microbe-drug association prediction. Methods (San Diego, Calif.). 2024-01-06. PMID:38184219. most computational models usually use a drug similarity matrix as the initial feature representation of drugs and stack the graph neural network layers to extract the features of network nodes. 2024-01-06 2024-01-09 human
Julio A López-Saldívar, Olga V Man'ko, Margarita A Man'ko, Vladimir I Man'k. Bosonic Representation of Matrices and Angular Momentum Probabilistic Representation of Cyclic States. Entropy (Basel, Switzerland). vol 25. issue 12. 2023-12-23. PMID:38136507. the jordan-schwinger map allows us to go from a matrix representation of any arbitrary lie algebra to an oscillator (bosonic) representation. 2023-12-23 2023-12-25 cat