Results 21 to 30 of about 5,816 (262)
HTTP Adaptive Streaming Framework with Online Reinforcement Learning
Applied Sciences, 2022 Dynamic adaptive streaming over HTTP (DASH) is an effective method for improving video streaming’s quality of experience (QoE). However, the majority of existing schemes rely on heuristic algorithms, and the learning-based schemes that have recently ...
Jeongho Kang, Kwangsue Chung
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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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An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data [PDF]
IEEE Systems Journal, 2019 There has been a keen interest in detecting abrupt sequential changes in streaming data obtained from sensors in wireless sensor networks for Internet of Things applications, such as fire/fault detection, activity recognition, and environmental monitoring. Such applications require (near) online detection of instantaneous changes.
Yasmin Fathy +2 more
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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 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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An empirical study on budget-aware online kernel algorithms for streams of graphs [PDF]
Neurocomputing, 2016 Author's version of the manuscript, to appear in Neurocomputing (ELSEVIER)
Giovanni Da San Martino +2 more
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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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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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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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