| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| Shiqiang Yang, Guohao Fan, Lele Bai, Cheng Zhao, Dexin L. SGC-VSLAM: A Semantic and Geometric Constraints VSLAM for Dynamic Indoor Environments. Sensors (Basel, Switzerland). vol 20. issue 8. 2020-05-23. PMID:32344724. |
the semantic bounding box generated by yolo v3 (you only look once, v3) was used to calculate a more accurate fundamental matrix between adjacent frames, which was then used to filter all of the truly dynamic features. |
2020-05-23 |
2023-08-13 |
Not clear |
| Morgan C Moyer, Kristen Syret. The semantics of questions. Wiley interdisciplinary reviews. Cognitive science. vol 10. issue 6. 2020-03-02. PMID:31348617. |
when questions are embedded under a matrix verb like "know," which takes the question as a sentential complement, how does the semantics of questions feed into the assessment of the proposition expressed by this declarative utterance? |
2020-03-02 |
2023-08-13 |
human |
| Jianghong Ma, Tommy W S Cho. Label-specific feature selection and two-level label recovery for multi-label classification with missing labels. Neural networks : the official journal of the International Neural Network Society. vol 118. 2019-12-06. PMID:31254766. |
an instance-wise semantic relational graph and a label-wise semantic relational graph are used in this mechanism to recover the label matrix. |
2019-12-06 |
2023-08-13 |
Not clear |
| Xiaoqiang Lu, Xiangtao Zheng, Xuelong L. Latent Semantic Minimal Hashing for Image Retrieval. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 26. issue 1. 2019-11-20. PMID:27849528. |
the latent semantic feature is learned based on matrix decomposition to refine original feature, thereby it makes the learned feature more discriminative. |
2019-11-20 |
2023-08-13 |
Not clear |
| Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Chen. Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval. IEEE transactions on cybernetics. vol 47. issue 11. 2019-11-20. PMID:28113794. |
in our method, relations between images and semantic topics are first discovered via robust collective non-negative matrix factorization. |
2019-11-20 |
2023-08-13 |
Not clear |
| Yu Kong, Yun F. Discriminative Relational Representation Learning for RGB-D Action Recognition. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 25. issue 6. 2019-11-20. PMID:28113902. |
our method factorizes the feature matrix of each modality, and enforces the same semantics for them in order to learn shared features from multimodal data. |
2019-11-20 |
2023-08-13 |
human |
| Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Ta. Multiobjective Sparse Non-Negative Matrix Factorization. IEEE transactions on cybernetics. vol 49. issue 8. 2019-11-20. PMID:29994343. |
non-negative matrix factorization (nmf) is becoming increasingly popular in many research fields due to its particular properties of semantic interpretability and part-based representation. |
2019-11-20 |
2023-08-13 |
Not clear |
| Ying-Ying Zhang, Shuo Zhang, Ping Zhang, Hai-Zhen Song, Xin-Gang Zhan. Local Regression Ranking for Saliency Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2019-10-03. PMID:31567087. |
low-level image features as well as high-level semantic information extracted from deep neural networks are used for the laplacian matrix learning. |
2019-10-03 |
2023-08-13 |
Not clear |
| Di Wang, Xinbo Gao, Xiumei Wang, Lihuo H. Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search. IEEE transactions on pattern analysis and machine intelligence. vol 41. issue 10. 2019-09-23. PMID:30059294. |
when semantic labels of training data are given, the algorithms often transform the labels into pairwise similarities, which gives rise to the following problems: (1) constructing pairwise similarity matrix requires enormous storage space and a large amount of calculation, making these methods unscalable to large-scale data sets; (2) transforming labels into pairwise similarities loses the category information of the training data. |
2019-09-23 |
2023-08-13 |
Not clear |