| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Ga. Double Similarity Distillation for Semantic Image Segmentation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-06-04. PMID:34048345. |
furthermore, considering the differences in characteristics between semantic segmentation task and other computer vision tasks, we propose a category-wise similarity distillation (csd) module, which can help the compact segmentation network strengthen the global category correlation by constructing the correlation matrix. |
2021-06-04 |
2023-08-13 |
Not clear |
| Ying Qian, Xuelian Li, Qian Zhang, Jiongmin Zhan. SPP-CPI: Predicting Compound-Protein Interactions Based on Neural Networks. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2021-05-27. PMID:34043511. |
on the other hand, a distance matrix does not require complex data preprocessing for the molecular structure as the molecular graph representation, and is easier to obtain; 2) it uses spp(spatial pyramid pooling)-net to extract compound features, which has been successfully applied in image classification; and 3) it extracts protein features through the natural language processing method (doc2vec) to obtain sequence semantic information. |
2021-05-27 |
2023-08-13 |
Not clear |
| Camilo Roa, V N Du Le, Mala Mahendroo, Ilyas Saytashev, Jessica C Ramella-Roma. Auto-detection of cervical collagen and elastin in Mueller matrix polarimetry microscopic images using K-NN and semantic segmentation classification. Biomedical optics express. vol 12. issue 4. 2021-05-18. PMID:33996226. |
auto-detection of cervical collagen and elastin in mueller matrix polarimetry microscopic images using k-nn and semantic segmentation classification. |
2021-05-18 |
2023-08-13 |
mouse |
| Rania Albalawi, Tet Hin Yeap, Morad Benyouce. Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis. Frontiers in artificial intelligence. vol 3. 2021-03-20. PMID:33733159. |
these methods are latent semantic analysis, latent dirichlet allocation, non-negative matrix factorization, random projection, and principal component analysis. |
2021-03-20 |
2023-08-13 |
human |
| Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei S. Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE transactions on cybernetics. vol PP. 2021-03-17. PMID:33729972. |
by defining the conservative risk and the precipitant risk as two competing risk factors, we construct the balanced conservative/precipitant semantic (bcps) risk matrix across all nodes in the semantic hierarchy with user-defined weights to adjust the tradeoff between two kinds of risks. |
2021-03-17 |
2023-08-13 |
Not clear |
| Hansjörg Neth, Nico Gradwohl, Dirk Streeb, Daniel A Keim, Wolfgang Gaissmaie. Perspectives on the 2 × 2 Matrix: Solving Semantically Distinct Problems Based on a Shared Structure of Binary Contingencies. Frontiers in psychology. vol 11. 2021-02-27. PMID:33633620. |
the shared structural construct of a 2 × 2 matrix supports a set of generic tasks and semantic mappings that provide a unifying framework for understanding problems and defining scientific measures. |
2021-02-27 |
2023-08-13 |
Not clear |
| William D Hula, Sandip Panesar, Michelle L Gravier, Fang-Cheng Yeh, Haley C Dresang, Michael Walsh Dickey, Juan C Fernandez-Mirand. Structural white matter connectometry of word production in aphasia: an observational study. Brain : a journal of neurology. vol 143. issue 8. 2020-12-30. PMID:32705146. |
specifically, we reconstructed a local connectome matrix for each participant from diffusion spectrum imaging data and regressed these matrices on indices of semantic and phonological ability derived from their responses to a picture-naming test and a computational model of word production. |
2020-12-30 |
2023-08-13 |
human |
| Jian Luo, Tardi Tjahjad. Gait Recognition and Understanding Based on Hierarchical Temporal Memory Using 3D Gait Semantic Folding. Sensors (Basel, Switzerland). vol 20. issue 6. 2020-12-18. PMID:32188067. |
second, by using gait semantic folding, the estimated body parameters are encoded using a sparse 2d matrix to construct the structural gait semantic image. |
2020-12-18 |
2023-08-13 |
human |
| Donglin Zhang, Xiao-Jun W. Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval. IEEE transactions on cybernetics. vol PP. 2020-12-18. PMID:33326392. |
scalable discrete matrix factorization and semantic autoencoder for cross-media retrieval. |
2020-12-18 |
2023-08-13 |
Not clear |
| Donglin Zhang, Xiao-Jun W. Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval. IEEE transactions on cybernetics. vol PP. 2020-12-18. PMID:33326392. |
to address the above challenges, this article presents a novel algorithm, called scalable discrete matrix factorization and semantic autoencoder method (sdmsa). |
2020-12-18 |
2023-08-13 |
Not clear |
| Donglin Zhang, Xiao-Jun W. Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval. IEEE transactions on cybernetics. vol PP. 2020-12-18. PMID:33326392. |
in the first stage, the matrix factorization scheme is utilized to learn the latent semantic information, the label matrix is incorporated into the loss function instead of the similarity matrix. |
2020-12-18 |
2023-08-13 |
Not clear |
| Qin Zhao, Chenguang Hou, Changjian Liu, Peng Zhang, Ruifeng X. A Quantum Expectation Value Based Language Model with Application to Question Answering. Entropy (Basel, Switzerland). vol 22. issue 5. 2020-12-10. PMID:33286305. |
a unique shared density matrix is constructed for the semantic hilbert space. |
2020-12-10 |
2023-08-13 |
Not clear |
| Karthik Devarajan, Guoli Wang, Nader Ebrahim. A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. Machine learning. vol 99. issue 1. 2020-10-01. PMID:25821345. |
a unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. |
2020-10-01 |
2023-08-13 |
Not clear |
| Elizabeth Orme, Louise A Brown, Leigh M Rib. Retrieval and Monitoring Processes during Visual Working Memory: An ERP Study of the Benefit of Visual Semantics. Frontiers in psychology. vol 8. 2020-10-01. PMID:28725203. |
fifteen young adults completed a visual matrix patterns task, assessing memory for low and high semantic visual representations. |
2020-10-01 |
2023-08-13 |
human |
| Colin J Hamilton, Louise A Brown, Clelia Rossi-Arnau. Older Adults Benefit from Symmetry, but Not Semantic Availability, in Visual Working Memory. Frontiers in psychology. vol 8. 2020-09-29. PMID:29416521. |
visual matrix pattern tasks varied in terms of the perceptual factor of symmetry (experiment 1), as well as the availability of visual semantics, or long-term memory (ltm; experiment 2). |
2020-09-29 |
2023-08-13 |
human |
| Colin J Hamilton, Louise A Brown, Clelia Rossi-Arnau. Older Adults Benefit from Symmetry, but Not Semantic Availability, in Visual Working Memory. Frontiers in psychology. vol 8. 2020-09-29. PMID:29416521. |
in experiment 2, two visual matrix task sets were used, with visual arrays of either low or high semantic availability (i.e., they contained stimuli with recognizable shapes that allow for ltm support). |
2020-09-29 |
2023-08-13 |
human |
| Yazhou Liu, Yuliang Chen, Pongsak Lasang, Quansen Su. Covariance Attention for Semantic Segmentation. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2020-09-28. PMID:32976093. |
in this article, a new attention module, covariance attention, is presented, and which is interesting in the following aspects: 1) covariance matrix is used as a new attention module to model the global and local dependency for the feature maps and the local-global dependency is formulated as a simple matrix projection process; 2) since covariance matrix can encode the joint distribution information for the heterogeneous yet complementary statistics, the hand-engineered features are combined with the learnt features effectively using covariance matrix to boost the segmentation performance; 3) a covariance attention mechanism based semantic segmentation framework, canet, is proposed and very competitive performance has been obtained. |
2020-09-28 |
2023-08-13 |
Not clear |
| Tao Yao, Lianshan Yan, Yilan Ma, Hong Yu, Qingtang Su, Gang Wang, Qi Tia. Fast discrete cross-modal hashing with semantic consistency. Neural networks : the official journal of the International Neural Network Society. vol 125. 2020-08-31. PMID:32088568. |
specifically, it firstly leverages both class labels and the pair-wise similarity matrix to learn a sharing hamming space where the semantic consistency can be better preserved. |
2020-08-31 |
2023-08-13 |
Not clear |
| Keshav Kuma. Probabilistic latent semantic analysis of composite excitation-emission matrix fluorescence spectra of multicomponent system. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. vol 239. 2020-06-22. PMID:32480276. |
probabilistic latent semantic analysis of composite excitation-emission matrix fluorescence spectra of multicomponent system. |
2020-06-22 |
2023-08-13 |
Not clear |
| Keshav Kuma. Probabilistic latent semantic analysis of composite excitation-emission matrix fluorescence spectra of multicomponent system. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. vol 239. 2020-06-22. PMID:32480276. |
in the present work, a simple and fast analytical procedure involving minimum user intervention was developed by combining the excitation-emission matrix fluorescence (eemf) spectroscopy with probabilistic latent semantic analysis (plsa) technique. |
2020-06-22 |
2023-08-13 |
Not clear |