Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
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. |
to address these challenges, this paper introduces a simple yet effective supervised multimodal hashing method, called label consistent matrix factorization hashing (lcmfh), which focuses on directly utilizing semantic labels to guide the hashing learning procedure. |
2019-09-23 |
2023-08-13 |
Not clear |
Jianghong Ma, Tommy W S Cho. Topic-Based Algorithm for Multilabel Learning With Missing Labels. IEEE transactions on neural networks and learning systems. vol 30. issue 7. 2019-07-23. PMID:30442616. |
the proposed algorithm can recover the label matrix according to local, topic-wise, and global semantic properties. |
2019-07-23 |
2023-08-13 |
Not clear |
Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Ta. Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 28. issue 8. 2019-06-24. PMID:30872226. |
integrating the supervision of this semantic similarity matrix into the adversarial learning framework can efficiently preserve the semantic information of training data in hamming space. |
2019-06-24 |
2023-08-13 |
Not clear |
Jan Ketil Arnulf, Kai Rune Larsen, Øyvind Lund Martinsen, Thore Egelan. The failing measurement of attitudes: How semantic determinants of individual survey responses come to replace measures of attitude strength. Behavior research methods. vol 50. issue 6. 2019-04-30. PMID:29330764. |
exploring the degree to which individual responses are influenced by semantics, we hypothesized that in many cases, information about attitude strength is actually filtered out as noise in the commonly used correlation matrix. |
2019-04-30 |
2023-08-13 |
human |
Graham Pluc. Preliminary Validation of a Free-to-Use, Brief Assessment of Adult Intelligence for Research Purposes: The Matrix Matching Test. Psychological reports. vol 122. issue 2. 2019-04-24. PMID:29540106. |
a total sample of 176 adult participants, from various settings, was assessed with a set of matrix tasks that involved either visuospatial (fluid) or semantic (crystallized) reasoning. |
2019-04-24 |
2023-08-13 |
human |
José Fonseca, Ana Raposo, Isabel Pavão Martin. Cognitive performance and aphasia recovery. Topics in stroke rehabilitation. vol 25. issue 2. 2018-10-16. PMID:29072540. |
assessment comprised non-verbal tests of attention/processing speed (symbol search, cancelation task), executive functioning (matrix reasoning, tower of hanoi, clock drawing, motor initiative), semantic (camel and cactus test), episodic and immediate memory (memory for faces test, 5 objects memory test, and spatial span. |
2018-10-16 |
2023-08-13 |
human |
Zechao Li, Jinhui Tan. Weakly Supervised Deep Matrix Factorization for Social Image Understanding. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 26. issue 1. 2018-07-30. PMID:27831878. |
different from previous work, we propose a novel weakly supervised deep matrix factorization algorithm, which uncovers the latent image representations and tag representations embedded in the latent subspace by collaboratively exploring the weakly supervised tagging information, the visual structure, and the semantic structure. |
2018-07-30 |
2023-08-13 |
Not clear |
Alan M Race, Andrew D Palmer, Alex Dexter, Rory T Steven, Iain B Styles, Josephine Bunc. SpectralAnalysis: Software for the Masses. Analytical chemistry. vol 88. issue 19. 2018-07-26. PMID:27558772. |
here, we present software that can be used through the entire analysis workflow, from raw data through preprocessing (including a wide range of methods for smoothing, baseline correction, normalization, and image generation) to multivariate analysis (for example, memory efficient principal component analysis (pca), non-negative matrix factorization (nmf), maximum autocorrelation factor (maf), and probabilistic latent semantic analysis (plsa)), for data sets acquired from single experiments to large multi-instrument, multimodality, and multicenter studies. |
2018-07-26 |
2023-08-13 |
Not clear |
Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing H. Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE transactions on cybernetics. vol 48. issue 8. 2018-07-23. PMID:28792910. |
semantic feature learning for heterogeneous multitask classification via non-negative matrix factorization. |
2018-07-23 |
2023-08-13 |
Not clear |
Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing H. Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE transactions on cybernetics. vol 48. issue 8. 2018-07-23. PMID:28792910. |
we then propose a non-negative matrix factorization-based multitask method (mtnmf) to learn a common semantic feature space underlying different heterogeneous feature spaces of each task. |
2018-07-23 |
2023-08-13 |
Not clear |
Adam E Green, Katherine A Spiegel, Evan J Giangrande, Adam B Weinberger, Natalie M Gallagher, Peter E Turkeltau. Thinking Cap Plus Thinking Zap: tDCS of Frontopolar Cortex Improves Creative Analogical Reasoning and Facilitates Conscious Augmentation of State Creativity in Verb Generation. Cerebral cortex (New York, N.Y. : 1991). vol 27. issue 4. 2017-04-27. PMID:27075035. |
in a novel analogy finding task, participants under tdcs formulated substantially more creative analogical connections in a large matrix search space (creativity indexed via latent semantic analysis). |
2017-04-27 |
2023-08-13 |
human |
Antonietta Gabriella Liuzzi, Rose Bruffaerts, Patrick Dupont, Katarzyna Adamczuk, Ronald Peeters, Simon De Deyne, Gerrit Storms, Rik Vandenbergh. Left perirhinal cortex codes for similarity in meaning between written words: Comparison with auditory word input. Neuropsychologia. vol 76. 2016-06-27. PMID:25795039. |
from these feature generation data, a concept-feature matrix was derived which formed the basis of a cosine similarity matrix between the entities reflecting their similarity in meaning (called the "semantic cossimilarity matrix"). |
2016-06-27 |
2023-08-13 |
human |
Antonietta Gabriella Liuzzi, Rose Bruffaerts, Patrick Dupont, Katarzyna Adamczuk, Ronald Peeters, Simon De Deyne, Gerrit Storms, Rik Vandenbergh. Left perirhinal cortex codes for similarity in meaning between written words: Comparison with auditory word input. Neuropsychologia. vol 76. 2016-06-27. PMID:25795039. |
next, the similarity was determined between the semantic cossimilarity matrix and the fmri cossimilarity matrix. |
2016-06-27 |
2023-08-13 |
human |
Antonietta Gabriella Liuzzi, Rose Bruffaerts, Patrick Dupont, Katarzyna Adamczuk, Ronald Peeters, Simon De Deyne, Gerrit Storms, Rik Vandenbergh. Left perirhinal cortex codes for similarity in meaning between written words: Comparison with auditory word input. Neuropsychologia. vol 76. 2016-06-27. PMID:25795039. |
only for written words did the fmri cossimilarity matrix correlate with the semantic cossimilarity matrix. |
2016-06-27 |
2023-08-13 |
human |
Akira Utsum. A Complex Network Approach to Distributional Semantic Models. PloS one. vol 10. issue 8. 2016-05-10. PMID:26295940. |
additionally, the observed differences in the network properties of various implementations of distributional semantic models are consistently explained or predicted by considering the intrinsic semantic features of a word-context matrix and the functions of matrix weighting and smoothing. |
2016-05-10 |
2023-08-13 |
human |
Richard Lenz, Mario Beyer, Klaus A Kuh. Semantic integration in healthcare networks. Studies in health technology and informatics. vol 116. 2016-04-22. PMID:16160288. |
by placing standards into a corresponding matrix a "semantic gap" is revealed, which cannot be covered by standards as it contains volatile medical concepts. |
2016-04-22 |
2023-08-12 |
Not clear |
Dirk Scheer, Christina Benighaus, Ludger Benighaus, Ortwin Renn, Stefan Gold, Bettina Röder, Gaby-Fleur Bö. The distinction between risk and hazard: understanding and use in stakeholder communication. Risk analysis : an official publication of the Society for Risk Analysis. vol 34. issue 7. 2015-10-19. PMID:24444356. |
thus, communication gaps can be reduced to a four-fold problem matrix comprising a semantic, conceptual, strategic, and control problem. |
2015-10-19 |
2023-08-12 |
human |
Meng Wang, Weisheng Li, Dong Liu, Bingbing Ni, Jialie Shen, Shuicheng Ya. Facilitating Image Search With a Scalable and Compact Semantic Mapping. IEEE transactions on cybernetics. vol 45. issue 8. 2015-09-22. PMID:25248210. |
then, a linear embedding matrix is learned that maps images into the semantic space, such that each image is closer to its relevant concept prototype than other prototypes. |
2015-09-22 |
2023-08-13 |
Not clear |
Meng Wang, Weisheng Li, Dong Liu, Bingbing Ni, Jialie Shen, Shuicheng Ya. Facilitating Image Search With a Scalable and Compact Semantic Mapping. IEEE transactions on cybernetics. vol 45. issue 8. 2015-09-22. PMID:25248210. |
in addition, a computationally efficient method is introduced to incorporate new semantic concept prototypes into the semantic space by updating the embedding matrix. |
2015-09-22 |
2023-08-13 |
Not clear |
Li Liu, Mengyang Yu, Ling Sha. Multiview alignment hashing for efficient image search. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 24. issue 3. 2015-03-30. PMID:25594968. |
in this paper, we present a novel unsupervised multiview alignment hashing approach based on regularized kernel nonnegative matrix factorization, which can find a compact representation uncovering the hidden semantics and simultaneously respecting the joint probability distribution of data. |
2015-03-30 |
2023-08-13 |
Not clear |