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Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, EarlyView.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
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WIREs Cognitive Science, 2013
This article reviews latent semantic analysis (LSA), a theory of meaning as well as a method for extracting that meaning from passages of text, based on statistical computations over a collection of documents.LSAas a theory of meaning defines a latent semantic space where documents and individual words are represented as vectors.LSAas a computational ...
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This article reviews latent semantic analysis (LSA), a theory of meaning as well as a method for extracting that meaning from passages of text, based on statistical computations over a collection of documents.LSAas a theory of meaning defines a latent semantic space where documents and individual words are represented as vectors.LSAas a computational ...
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Semantic Relatedness Using Salient Semantic Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, 2011This paper introduces a novel method for measuring semantic relatedness using semantic profiles constructed from salient encyclopedic features. The model is built on the notion that the meaning of a word can be characterized by the salient concepts found in its immediate context.
Samer Hassan, Rada Mihalcea
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International Journal of Computer Vision and Image Processing, 2021
Sparse Representation (SR) and Dictionary Learning (DL) based Classifier have shown promising results in classification tasks, with impressive recognition rate on image data. In Video Semantic Analysis (VSA) however, the local structure of video data contains significant discriminative information required for classification.
Daniel Danso Essel +2 more
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Sparse Representation (SR) and Dictionary Learning (DL) based Classifier have shown promising results in classification tasks, with impressive recognition rate on image data. In Video Semantic Analysis (VSA) however, the local structure of video data contains significant discriminative information required for classification.
Daniel Danso Essel +2 more
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1967
In the first part of the present work we considered some important topics by way of preparing the ground for a critical study of philosophical analysis. With that we pass to a detailed consideration of the major types and forms of philosophical analysis themselves, as we have outlined them in chapter one. The type of analysis to be considered first is “
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In the first part of the present work we considered some important topics by way of preparing the ground for a critical study of philosophical analysis. With that we pass to a detailed consideration of the major types and forms of philosophical analysis themselves, as we have outlined them in chapter one. The type of analysis to be considered first is “
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Family Semantic Polarities and Positionings: A Semantic Analysis
2016Inspired by Ugazio’s model of family semantic polarities (Storie permesse, storie proibite. Torino: Bollati Boringhieri, 1998; 2012; Semantic polarities and psychopathologies in the family: Permitted and forbidden stories. New York: Routledge, 2013) and by Harre et al.’s positioning theory (Harre & Van Langenhove, Positioning Theory: Moral Contexts of ...
Ugazio, Valeria, Fellin, Lisa Chiara
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Proceedings of Conference on Computer Architectures for Machine Perception, 2002
In the paper the problem of video segmentation and semantic analysis for video indexing and cinematographic language classification is addressed. Large archives of video sequences will remain a largely unexploitable resource of information, unless a straightforward way to describe their content is designed.
J.M. Corridoni, A. Del Bimbo
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In the paper the problem of video segmentation and semantic analysis for video indexing and cinematographic language classification is addressed. Large archives of video sequences will remain a largely unexploitable resource of information, unless a straightforward way to describe their content is designed.
J.M. Corridoni, A. Del Bimbo
openaire +1 more source