All Relations between representation and semantics

Publication Sentence Publish Date Extraction Date Species
Yifeng Ding, Zhanyu Ma, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, Haibin Lin. AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-02-17. PMID:33556008. our solution, named attention pyramid convolutional neural network (ap-cnn), consists of 1) a dual pathway hierarchy structure with a top-down feature pathway and a bottom-up attention pathway, hence learning both high-level semantic and low-level detailed feature representation, and 2) an roi-guided refinement strategy with roi-guided dropblock and roi-guided zoom-in operation, which refines features with discriminative local regions enhanced and background noises eliminated. 2021-02-17 2023-08-13 Not clear
Mandar Dixit, Yunsheng Li, Nuno Vasconcelo. Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. IEEE transactions on pattern analysis and machine intelligence. vol 42. issue 12. 2021-02-11. PMID:31180842. a bag-of-semantics (bos) representation is first induced, by feeding scene image patches to the object cnn, and representing the scene image by the ensuing bag of posterior class probability vectors (semantic posteriors). 2021-02-11 2023-08-13 Not clear
Curtiss A Chapman, Omar Hasan, Paul E Schulz, Randi C Marti. Evaluating the distinction between semantic knowledge and semantic access: Evidence from semantic dementia and comprehension-impaired stroke aphasia. Psychonomic bulletin & review. vol 27. issue 4. 2021-01-06. PMID:31993976. overall, evidence from sa and sd patients does not differentiate representations and access mechanisms in the semantic system, as has previously been suggested. 2021-01-06 2023-08-13 Not clear
Lydie Iralde, Arnaud Roy, Juliette Detroy, Philippe Allai. A Representational Approach to Executive Function Impairments in Young Adults with Down Syndrome. Developmental neuropsychology. vol 45. issue 5. 2020-12-15. PMID:32723095. these data are consistent with the view that down syndrome impairs the syntactic but not semantic dimension of script representation. 2020-12-15 2023-08-13 human
Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zho. InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2020-11-02. PMID:33108282. in this work, we propose a framework, called interfacegan, to interpret the disentangled face representation learned by the state-of-the-art gan models and thoroughly analyze the properties of the facial semantics in the latent space. 2020-11-02 2023-08-13 Not clear
Rodika Sokoliuk, Sara Calzolari, Damian Crus. Dissociable electrophysiological correlates of semantic access of motor and non-motor concepts. Scientific reports. vol 9. issue 1. 2020-10-27. PMID:31391537. however, evidence in support of embodied semantics - in particular the hypothesised contribution of motor and premotor cortex to the representation of action concepts - is varied. 2020-10-27 2023-08-13 human
Silvia Ortiz-Mantilla, Chiara Cantiani, Valerie L Shafer, April A Benasic. Minimally-verbal children with autism show deficits in theta and gamma oscillations during processing of semantically-related visual information. Scientific reports. vol 9. issue 1. 2020-10-19. PMID:30911038. it is not clear however, whether the limited linguistic ability seen in minimally-verbal (mv) children with autism spectrum disorder (asd) relates to deficits in cortical representation of an object and/or in linking an object to its semantic information. 2020-10-19 2023-08-13 Not clear
Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Y. SAFNet: A Semi-anchor-free Network with Enhanced Feature Pyramid for Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2020-10-12. PMID:33026987. the paradigm adaptively integrates multi-scale representations in a non-linear method meanwhile suppress the redundant semantic information for each pyramid level, such that a clean and enhanced feature pyramid could be obtained. 2020-10-12 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
Murray Grossma. Linguistic Aspects of Primary Progressive Aphasia. Annual review of linguistics. vol 4. 2020-09-30. PMID:30112427. i focus on the representation of word meaning in a discussion of semantic variant ppa, grammatical comprehension and expression in a discussion of nonfluent/agrammatic variant ppa, the supporting role of short-term memory in a discussion of logopenic variant ppa, and components of language associated with discourse in a discussion of behavioral variant frontotemporal dementia. 2020-09-30 2023-08-13 Not clear
Carlos Roncero, Jim Nikelski, Stephan Probst, Alita Fernandez, Alex Thiel, Howard Chertko. The semantic storage loss score: An Algorithm for measuring an individual's level of semantic storage loss due to temporal lobe damage in neurodegenerative disease. PloS one. vol 15. issue 8. 2020-09-30. PMID:32810171. anomia is common in primary progressive aphasia (ppa), and there is considerable evidence that semantic problems (as opposed to impaired access to output word phonology) exist in many ppa individuals irrespective of their strict subtype, including a loss of representations from semantic memory, which is typical for people with the semantic variant of ppa. 2020-09-30 2023-08-13 human
Ivan Krsnik, Goran Glavaš, Marina Krsnik, Damir Miletić, Ivan Štajduha. Automatic Annotation of Narrative Radiology Reports. Diagnostics (Basel, Switzerland). vol 10. issue 4. 2020-09-28. PMID:32244833. after primary preprocessing of the texts, two sets of text classification methods were compared: (1) traditional classification models-naive bayes (nb), logistic regression (lr), support vector machine (svm), and random forests (rf)-coupled with bag-of-words (bow) features (i.e., symbolic text representation) and (2) convolutional neural network (cnn) coupled with dense word vectors (i.e., word embeddings as a semantic text representation) as input features. 2020-09-28 2023-08-13 Not clear
Ivan Krsnik, Goran Glavaš, Marina Krsnik, Damir Miletić, Ivan Štajduha. Automatic Annotation of Narrative Radiology Reports. Diagnostics (Basel, Switzerland). vol 10. issue 4. 2020-09-28. PMID:32244833. the cnn with semantic word representations as input yielded the overall best performance, having a micro-averaged f 1 score of 86 . 2020-09-28 2023-08-13 Not clear
Antonella Di Vita, Maria Cristina Cinelli, Simona Raimo, Maddalena Boccia, Stefano Buratin, Paola Gentili, Maria Teresa Inzitari, Teresa Iona, Marco Iosa, Daniela Morelli, Francesco Ruggeri, Giuseppina Russo, Cecilia Guariglia, Liana Palerm. Body Representations in Children with Cerebral Palsy. Brain sciences. vol 10. issue 8. 2020-09-28. PMID:32731526. here we aimed at investigating br (i.e., body semantics, body structural representation and body schema) in children with cerebral palsy (cp) taking into account performance in tasks involving body stimuli and performance in tasks involving non-body stimuli. 2020-09-28 2023-08-13 Not clear
Fatma Deniz, Anwar O Nunez-Elizalde, Alexander G Huth, Jack L Gallan. The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality. The Journal of neuroscience : the official journal of the Society for Neuroscience. vol 39. issue 39. 2020-07-06. PMID:31427396. the representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. 2020-07-06 2023-08-13 human
Wenxin Dai, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, Chuan L. A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background. Sensors (Basel, Switzerland). vol 20. issue 9. 2020-05-13. PMID:32365747. based on the feature representation strategy, the cnn framework constructed can significantly enhance the location and semantics information for the multiscale ships, in particular for the small ships. 2020-05-13 2023-08-13 Not clear
Kathrin Müsch, Kevin Himberger, Kean Ming Tan, Taufik A Valiante, Christopher J Hone. Transformation of speech sequences in human sensorimotor circuits. Proceedings of the National Academy of Sciences of the United States of America. vol 117. issue 6. 2020-05-11. PMID:31996476. in contrast, we observed less reliable and less temporally precise responses in prefrontal and temporoparietal cortex; these higher-order representations, which were sensitive to sentence semantics, were shared across perception and rehearsal of the same sentence. 2020-05-11 2023-08-13 human
Jun Tao, Chaoli Wang, Nitesh V Chawla, Lei Shi, Seung Hyun Ki. Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields. IEEE transactions on visualization and computer graphics. vol 24. issue 12. 2019-11-20. PMID:29990237. we introduce semantic flow graph (sfg), a novel graph representation and interaction framework that enables users to explore the relationships among key objects (i.e., field lines, features, and spatiotemporal regions) of both steady and unsteady flow fields. 2019-11-20 2023-08-13 Not clear
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
Bolei Zhou, David Bau, Aude Oliva, Antonio Torralb. Interpreting Deep Visual Representations via Network Dissection. IEEE transactions on pattern analysis and machine intelligence. vol 41. issue 9. 2019-09-11. PMID:30040625. the proposed method quantifies the interpretability of cnn representations by evaluating the alignment between individual hidden units and visual semantic concepts. 2019-09-11 2023-08-13 Not clear