| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Zhen-Liang Ni, Gui-Bin Bian, Zhen Li, Xiao-Hu Zhou, Rui-Qi Li, Zeng-Guang Ho. Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation. IEEE journal of biomedical and health informatics. vol PP. 2022-02-28. PMID:35226612. |
the similarity between each horizontal position and each vertical position is calculated to encode long-range semantic dependencies and establish the affinity matrix. |
2022-02-28 |
2023-08-13 |
Not clear |
| Juan Su. Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization. Computational intelligence and neuroscience. vol 2022. 2022-01-17. PMID:35035469. |
the basic idea of the recommendation algorithm is as follows: firstly, the historical behavioural information of music users is collected, and the user preference model is constructed by using the method of matrix decomposition of the hidden semantic model; then, the audio resources in the system are preprocessed and the spectrum map that can represent the music features is extracted; the similarity between the user's preferred features and the music potential features are calculated to generate recommendations for the target user. |
2022-01-17 |
2023-08-13 |
Not clear |
| Lei Cai, Chuang Chen, Haojie Cha. Underwater Distortion Target Recognition Network (UDTRNet) via Enhanced Image Features. Computational intelligence and neuroscience. vol 2021. 2021-11-02. PMID:34721563. |
secondly, this paper constructs the dynamic correlation matrix to capture the spatial semantic relationship of the target and uses the matrix to extract spatial semantic features. |
2021-11-02 |
2023-08-13 |
Not clear |
| Ying Ying Zhang, HongJuan Wang, XiaoDong Lv, Ping Zhan. Capturing the grouping and compactness of high-level semantic feature for saliency detection. Neural networks : the official journal of the International Neural Network Society. vol 142. 2021-10-26. PMID:34116448. |
the propagation process uses an enhanced similarity matrix, which fuses the low-level deep feature and the high-level semantic feature through cross diffusion. |
2021-10-26 |
2023-08-13 |
Not clear |
| Naomar Almeida-Filh. [Health inequalities: new theoretical perspectives]. Salud colectiva. vol 16. 2021-08-23. PMID:32574463. |
thirdly, i present a semantic matrix proposed for the difference-distinction-inequality-inequity-iniquity series to help reduce the existing terminological confusion. |
2021-08-23 |
2023-08-13 |
Not clear |
| Manson Cheuk-Man Fong, Nga Yan Hui, Edith Sze-Wan Fung, Matthew King-Hang Ma, Tammy Sheung-Ting Law, Xiaoyang Wang, William Shiyuan Wan. Which cognitive functions subserve clustering and switching in category fluency? Generalisations from an extended set of semantic categories using linear mixed-effects modelling. Quarterly journal of experimental psychology (2006). vol 73. issue 12. 2021-08-18. PMID:32972306. |
our results revealed that although lexical retrieval speed (lrs) is clearly the determining factor for effective clustering and switching, matrix reasoning and processing speed also have significant roles to play, possibly in the processes of identifying and validating the semantic relationships. |
2021-08-18 |
2023-08-13 |
Not clear |
| Mingyong Li, Qiqi Li, Lirong Tang, Shuang Peng, Yan Ma, Degang Yan. Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model. Computational intelligence and neuroscience. vol 2021. 2021-08-02. PMID:34326867. |
to solve this problem, inspired by knowledge distillation, we propose a novel unsupervised knowledge distillation cross-modal hashing method based on semantic alignment (sakdh), which can reconstruct the similarity matrix using the hidden correlation information of the pretrained unsupervised teacher model, and the reconstructed similarity matrix can be used to guide the supervised student model. |
2021-08-02 |
2023-08-13 |
Not clear |
| Mingyong Li, Qiqi Li, Lirong Tang, Shuang Peng, Yan Ma, Degang Yan. Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model. Computational intelligence and neuroscience. vol 2021. 2021-08-02. PMID:34326867. |
specifically, firstly, the teacher model adopted an unsupervised semantic alignment hashing method, which can construct a modal fusion similarity matrix. |
2021-08-02 |
2023-08-13 |
Not clear |
| K V Dijkstra, J D R Farquhar, P W M Desai. The N400 for brain computer interfacing: complexities and opportunities. Journal of neural engineering. vol 17. issue 2. 2021-06-25. PMID:31986492. |
in this paper, we provide an accessible overview of this range of n400 effects, and survey the three main bci application areas that currently exploit the n400: (1) exploiting the semantic processing of faces to enhance matrix speller performance, (2) detecting language processing in patients with disorders of consciousness, and (3) using semantic stimuli to probe what is on a user's mind. |
2021-06-25 |
2023-08-13 |
human |
| Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Ta. Ontological representation-oriented term normalization and standardization of the Research Domain Criteria. Health informatics journal. vol 26. issue 2. 2021-06-23. PMID:30843449. |
since an ontology has the strengths of supporting semantic inferencing and automatic data processing, we would like to transform the research domain criteria matrix into an ontological structure. |
2021-06-23 |
2023-08-13 |
Not clear |
| Xiaozhao Fang, Kaihang Jiang, Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xi. Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. IEEE transactions on cybernetics. vol PP. 2021-06-11. PMID:34106872. |
this article proposes a novel method called average approximate hashing (aah) to address these problems by: 1) integrating the locality and residual preservation into a graph embedding framework by using the label information; 2) projecting data from different modalities into different semantic spaces and then making the two spaces approximate to each other so that a unified hash code can be obtained; and 3) introducing a principal component analysis (pca)-like projection matrix into the graph embedding framework to guarantee that the projected data can preserve the main energy of data. |
2021-06-11 |
2023-08-13 |
Not clear |
| 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 |