Results 11 to 20 of about 464,134 (277)
Semantic Network Interpretation [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022 Network interpretation as an effort to reveal the features learned by a network remains largely visualization-based. In this paper, our goal is to tackle semantic network interpretation at both filter and decision level. For filter-level interpretation, we represent the concepts a filter encodes with a probability distribution of visual attributes. The
Pei Guo, Ryan Farrell
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Semantic Diffusion Network for Semantic Segmentation
Advances in Neural Information Processing Systems 35, 2022 Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Haoru Tan, Sitong Wu, Jimin Pi
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Beauty and Wellness in the Semantic Memory of the Beholder
Frontiers in Psychology, 2021 Beauty and wellness are terms used often in common parlance, however their meaning and relation to each other is unclear. To probe their meaning, we applied network science methods to estimate and compare the semantic networks associated with beauty and ...
Yoed N. Kenett +3 more
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What's in a semantic network? [PDF]
Proceedings of the 20th annual meeting on Association for Computational Linguistics -, 1982 Ever since Wood's "What's in a Link" paper, there has been a growing concern for formalization in the study of knowledge representation. Several arguments have been made that frame representation languages and semantic-network languages are syntactic variants of the first-order predicate calculus (FOPC). The typical argument proceeds by showing how any
James F. Allen, Alan M. Frisch
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Design representation as semantic networks
Computers in Industry, 2023 Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertise and manual construction and are difficult to repeat and scale.
Serhad Sarica, Ji Han, Jianxi Luo
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Entropy, 2022 Complex networks are often used to analyze written text and reports by rendering texts in the form of a semantic network, forming a lexicon of words or key terms.
Ismo Koponen, Ilona Södervik
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Topological properties and organizing principles of semantic networks
Scientific Reports, 2023 Interpreting natural language is an increasingly important task in computer algorithms due to the growing availability of unstructured textual data.
Gabriel Budel +3 more
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Olfaction, Vision, and Semantics for Mobile Robots. Results of the IRO Project
Sensors, 2019 Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot ...
Javier Monroy +4 more
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Communications of the ACM, 1979 An extended form of semantic network is defined, which can be regarded as a syntactic variant of the clausal form of logic. By virtue of its relationship with logic, the extended semantic network is provided with a precise semantics, inference rules, and a procedural interpretation.
DELIYANNI, A, KOWALSKI, RA
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Network Visualization by Semantic Substrates [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2006 Networks have remained a challenge for information visualization designers because of the complex issues of node and link layout coupled with the rich set of tasks that users present. This paper offers a strategy based on two principles: (1) layouts are based on user-defined semantic substrates, which are non-overlapping regions in which node placement
Ben Shneiderman, Aleks Aris
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