Results 11 to 20 of about 152,300 (264)
Cross-Modal Retrieval by Class Information and Listwise Ranking
Jisuanji kexue yu tansuo, 2021 Cross-modal retrieval has attracted significant attention due to the increasing use of multi-modal data. A major challenge for cross-modal retrieval is the modal gap. To cope with the heterogeneity, common subspace learning method is proposed.
LIU Yuping, GE Hong, ZENG Yibin
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Document Retrieval for Precision Medicine Using a Deep Learning Ensemble Method
JMIR Medical Informatics, 2021 BackgroundWith the development of biomedicine, the number of biomedical documents has increased rapidly bringing a great challenge for researchers trying to retrieve the information they need.
Zhiqiang Liu +3 more
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A Review on Recent Arabic Information Retrieval Techniques
EAI Endorsed Transactions on Internet of Things, 2022 Information retrieval is an important field that aims to provide a relevant document to a user information need, expressed through a query. Arabic is a challenging language that gained much attention recently in the information retrieval domain.
Abdelkrim AARAB +2 more
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Ranking-Based Deep Hashing Network for Image Retrieval
IEEE Access, 2022 In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang +5 more
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Link-Driven Study to Enhance Text-Based Image Retrieval: Implicit Links Versus Explicit Links
IEEE Access, 2023 Due to the explosive growth of digital images, new efficient and effective methodologies and tools are needed in the image retrieval field. Compared to the content-based image retrieval approach that suffers from the semantic gap, the text-based image ...
Karim Gasmi, Hatem Aouadi, Mouna Torjmen
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IEEE Access, 2020 Because of the unique attributes of archive information, it is challenging to manage and effectively retrieve archive information in the archive information management practice.
Meng Wang, Lilan Chen
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Retrieval and Ranking of Combining Ontology and Content Attributes for Scientific Document
Entropy, 2022 Traditional mathematical search models retrieve scientific documents only by mathematical expressions and their contexts and do not consider the ontological attributes of scientific documents, which result in gaps between the queries and the retrieval ...
Xinyu Jiang, Bingjie Tian, Xuedong Tian
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Intelligent Search System for Working with Big Data
Современные информационные технологии и IT-образование, 2023 The article describes a system for modeling an information retrieval system on the Internet. The developed application is described, which allows the operation of the information retrieval system according to the following parameters: according to the ...
Irina F. Astachova +3 more
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An Alternative Cross Entropy Loss for Learning-to-Rank
, 2021 Listwise learning-to-rank methods form a powerful class of ranking algorithms that are widely adopted in applications such as information retrieval. These algorithms learn to rank a set of items by optimizing a loss that is a function of the entire set --
Bruch, Sebastian
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The quantum probability ranking principle for information retrieval [PDF]
, 2009 While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between documents.
C.X. Zhai +5 more
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