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Quantization to speedup approximate nearest neighbor search
Neural Computing and Applications, 2023 AbstractThe quantization-based approaches not only are the effective methods for solving the problems of approximate nearest neighbor search, but also effectively reduce storage space. However, many quantization-based approaches usually employ fixed nprobes to the search process for each query. This will lead to extra query consumption.
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Nearest Neighbor Search in the Metric Space of a Complex Network for Community Detection
Information, 2016 The objective of this article is to bridge the gap between two important research directions: (1) nearest neighbor search, which is a fundamental computational tool for large data analysis; and (2) complex network analysis, which deals with large real ...
Suman Saha, Satya P. Ghrera
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Tree-based Search Graph for Approximate Nearest Neighbor Search
CoRR, 2022 Nearest neighbor search supports important applications in many domains, such as database, machine learning, computer vision. Since the computational cost for accurate search is too high, the community turned to the research of approximate nearest neighbor search (ANNS). Among them, graph-based algorithm is one of the most important branches.
Xiaobin Fan +4 more
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OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
EURASIP Journal on Wireless Communications and Networking, 2018 In order to prevent sensitive data tampering in the application of security monitoring, intelligent traffic, and other sensitive Internet of Things, the research on WMSN (wireless multimedia sensor networks) application system based on blockchain and ...
Huakun Liu +5 more
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A New Meta-Heuristic Algorithm Based on Tabu Search for the Job Scheduling Problem in a Fog-Cloud system [PDF]
مجله مدل سازی در مهندسی, 2020 Today, with the expansion of communications and the high volume of data, the need for processing them at a low time and high speed has increased. On the other hand, conducting this high volume of computing operations requires systems with high processing
Seydeh Samira Mohammadi, Mahmood Deypir
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Robust Underwater Localization Using Acoustic Image Alignment for Autonomous Intervention Systems
IEEE Access, 2022 Acoustic imaging sonar can be used as important navigation sensors for underwater intervention systems as they consistently provide spatial information about the surrounding environment, even in limited visibility conditions.
Jisung Park, Jinwhan Kim
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Pyramid Product Quantization for Approximate Nearest Neighbor Search
Applied SciencesProduct quantization (PQ) is a widely adopted technique for efficient approximate nearest neighbor (ANN) search in high-dimensional spaces, offering a favorable balance between accuracy and memory efficiency. However, standard PQ suffers from high online
Yang Wang +3 more
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A probabilistic molecular fingerprint for big data settings
Journal of Cheminformatics, 2018 Background Among the various molecular fingerprints available to describe small organic molecules, extended connectivity fingerprint, up to four bonds (ECFP4) performs best in benchmarking drug analog recovery studies as it encodes substructures with a ...
Daniel Probst, Jean-Louis Reymond
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IEEE Access, 2019 Non-exhaustive search is widely used in the approximate nearest neighbor (ANN) search. In this paper, we propose a new cell-level search-based non-exhaustive ANN search algorithm in the framework of product quantization (PQ) called cell-level PQ to speed
Yang Wang, Zhibin Pan, Rui Li
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Efficient Retrieval of Music Recordings Using Graph-Based Index Structures
Signals, 2021 Flexible retrieval systems are required for conveniently browsing through large music collections. In a particular content-based music retrieval scenario, the user provides a query audio snippet, and the retrieval system returns music recordings from the
Frank Zalkow +2 more
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