Results 21 to 30 of about 5,420 (166)
Online Semi-supervised Cross-modal Hashing Based on Anchor Graph Classification [PDF]
Jisuanji kexue, 2023 In recent years,hashing algorithm have been widely concerned in efficient cross-modal retrieval of large-scale multimedia data due to small storage costs and high retrieval speed.Most of the existing cross-modal hashing algorithms are supervised or ...
QIN Liang, XIE Liang, CHEN Shengshuang, XU Haijiao
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Neural Learning With Recoil Behavior in Hyperellipsoidal Structure
IEEE Access, 2020 In recent years, the quantity of digital data being generated has increased considerably and is overwhelming the storage capacity. To overcome this problem, acquiring more and larger data storage is the simplest solution.
Kanoksilp Jindadoungrut +2 more
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Online analysis of microendoscopic 1-photon calcium imaging data streams.
PLoS Computational Biology, 2021 In vivo calcium imaging through microendoscopic lenses enables imaging of neuronal populations deep within the brains of freely moving animals. Previously, a constrained matrix factorization approach (CNMF-E) has been suggested to extract single-neuronal
Johannes Friedrich +2 more
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Information, 2020 As new cyberattacks are launched against systems and networks on a daily basis, the ability for network intrusion detection systems to operate efficiently in the big data era has become critically important, particularly as more low-power Internet-of ...
Nathan Martindale +2 more
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SOTXTSTREAM: Density-based self-organizing clustering of text streams. [PDF]
PLoS ONE, 2017 A streaming data clustering algorithm is presented building upon the density-based self-organizing stream clustering algorithm SOSTREAM. Many density-based clustering algorithms are limited by their inability to identify clusters with heterogeneous ...
Avory C Bryant, Krzysztof J Cios
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Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification
Applied Sciences, 2019 As the demand for over-the-top and online streaming services exponentially increases, many techniques for Quality of Experience (QoE) provisioning have been studied. Users can take actions (e.g., skipping) while streaming a video.
Kyeongseon Kim +3 more
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Toward Budgeted Online Kernel Ridge Regression on Streaming Data
IEEE Access, 2019 “Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online ...
Fuhao Gao +3 more
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A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Machine learning has shown to be a crucial part of big data analytics; however, it lacks when the data is continuously streaming in from the system and changing too much from the original training data.
Nicholas Cummins +5 more
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Learning from time-dependent streaming data with online stochastic algorithms
, 2022 In recent decades, intelligent systems, such as machine learning and artificial intelligence, have become mainstream in many parts of society. However, many of these methods often work in a batch or offline learning setting, where the model is re-trained from scratch when new data arrives.
Godichon-Baggioni, Antoine +2 more
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Entropy, 2023 Multi-label streaming feature selection has received widespread attention in recent years because the dynamic acquisition of features is more in line with the needs of practical application scenarios.
Jinghua Liu +4 more
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