Results 31 to 40 of about 5,420 (166)
Bayesian Penalized Method for Streaming Feature Selection
IEEE Access, 2019 The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
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Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices
Frontiers in Neuroscience, 2021 While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training.
Junyun Zhao +5 more
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SATE: Providing Stable and Agile Adaptation in HTTP-Based Video Streaming
IEEE Access, 2019 Online video streaming service, such as Youtube and Netflix, is emerging as a killer application that constitutes most IP traffic. Users want high-quality video streaming service; however, network bandwidth cannot keep up user's demand. In the HTTP-based
Wangyu Choi, Jongwon Yoon
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A Comparison of Trajectory Compression Algorithms Over AIS Data
IEEE Access, 2021 Today’s industry is flooded with tracking data originating from vessels across the globe that transmit their position at frequent intervals. These voluminous and high-speed streams of data has led researchers to develop novel ways to compress them
Antonios Makris +3 more
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Algorithms, 2020 We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory and computational savings by processing the data on-the-fly as they are acquired.
Rasoul Shafipour, Gonzalo Mateos
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Low-Memory Algorithms for Online and W-Streaming Edge Coloring
, 2023 For edge coloring, the online and the W-streaming models seem somewhat orthogonal: the former needs edges to be assigned colors immediately after insertion, typically without any space restrictions, while the latter limits memory to sublinear in the input size but allows an edge's color to be announced any time after its insertion.
Ghosh, Prantar, Stoeckl, Manuel
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An encrypted network video stream dataset
Data in Brief, 2023 Most of the video content on the Internet today is distributed through online streaming platforms. To ensure user privacy, data transmissions are often encrypted using cryptographic protocols.
Jan Fesl +4 more
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Incremental Beta Distribution Weighted Fuzzy C-Ordered Means Clustering
InformationStreaming data is becoming more and more common in the field of big data and incremental frameworks can address its complexity. The BDFCOM algorithm achieves good results on common form datasets by introducing the ordering mechanism of beta distribution ...
Hengda Wang +3 more
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Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incrementa Approach
Sensors, 2020 To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth.
Kangqing Yu, Wei Shi, Nicola Santoro
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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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