Results 31 to 40 of about 279,861 (147)
IEEE AccessTokenization is an important early step in natural language processing (NLP) tasks. The idea is to split the input sentence into smaller units, called tokens, for further processing.
Dorieh Alomari, Irfan Ahmad
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Applied Sciences, 2020 We herein report the effect of the viscosity of a prepolymer solution on the thickness uniformity of silver-nanowire-embedded flexible transparent electrodes.
Moonsoo Chae +6 more
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Synthese, 2019 AbstractHow should we account for the contextual variability of knowledge claims? Many philosophers favour an invariantist account on which such contextual variability is due entirely to pragmatic factors, leaving no interesting context-sensitivity in the semantic meaning of ‘know that.’ I reject this invariantist division of labor by arguing that ...
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БиблиосфераThe article is an analytical review of reports and presentations made at the scientific conference “Application of Artificial Intelligence in Library and Information Activities” and held by INION RAS on May 29, 2024.
V. K. Stepanov
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On Variable Exponent Amalgam Spaces
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2012 We derive some of the basic properties of weighted variable exponent Lebesgue spaces Lp(.)w (ℝn) and investigate embeddings of these spaces under some conditions.
Aydin İsmail
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Matching the LBO Eigenspace of Non-Rigid Shapes via High Order Statistics
Axioms, 2014 A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold describing the geometry of a shape into Euclidean space. Several methods have been proposed to embed isometric shapes into flat domains, while preserving the ...
Alon Shtern, Ron Kimmel
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IEEE AccessInformation hiding in digital images is a critical technique for secure communication in the era of high-volume multimedia exchange. While many existing methods embed secret data by modifying image parameters in the spatial or frequency domains, they ...
Mohsin Shah +3 more
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Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 2 (Short Papers), 2018 Creating accurate meta-embeddings from pre-trained source embeddings has received attention lately. Methods based on global and locally-linear transformation and concatenation have shown to produce accurate meta-embeddings. In this paper, we show that the arithmetic mean of two distinct word embedding sets yields a performant meta-embedding that is ...
Coates, Joshua, Bollegala, Danushka
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An Automatic Framework Recognizing the Relationships of Cultural Heritage
IEEE AccessThe field of cultural heritage has developed over a long period, accumulating a wealth of research findings. Researchers are now focusing on systematic relationships and taxonomic studies of heritage, exploring the underlying cultural information ...
Zizhan Zhang, Zijun Zhou, Yingchun Cao
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A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices
Sensors, 2022 Steganography is a vital security approach that hides any secret content within ordinary data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret data; whether it is benign or malicious (e.g., ransomware) and for ...
Iman Almomani +2 more
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