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Online deep transferable dictionary learning
Pattern Recognition, 2021Abstract In real-world applications, large-scale unlabeled data usually becomes available gradually over time. Online learning is important to update models while preserving their historical knowledge. However, a time-varying distribution shift exists in incoming sequential data in online learning, resulting in a data cluster discrepancy between the ...
Ancong Wu, Wei-Shi Zheng
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Slice-Based Online Convolutional Dictionary Learning
IEEE Transactions on Cybernetics, 2021Convolutional dictionary learning (CDL) aims to learn a structured and shift-invariant dictionary to decompose signals into sparse representations. While yielding superior results compared to traditional sparse coding methods on various signal and image processing tasks, most CDL methods have difficulties handling large data, because they have to ...
Yijie Zeng +2 more
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Online parameterized dictionary matching with one gap
Theoretical Computer Science, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avivit Levy, B Riva Shalom
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Contextual Online Dictionary Learning for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2018Wei Fu, Shutao Li, Leyuan Fang
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A Reliable Online Dictionary Learning Denoising Strategy for Noisy Microseismic Data
IEEE Transactions on Geoscience and Remote Sensing, 2023Improving the quality of microseismic recordings is a critical step in the microseismic data processing. We introduce a wavelet-weighted online dictionary learning (WWODL) denoising strategy for noisy microseismic recordings.
Jian He +4 more
semanticscholar +1 more source
Correlation Based Online Dictionary Learning Algorithm
IEEE Transactions on Signal Processing, 2016Yashar Naderahmadian +2 more
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Online dictionary learning algorithm with periodic updates and its application to image denoising
Expert Systems With Applications, 2014Ender M Ekşioğlu
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Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning
IEEE Transactions on Cybernetics, 2014Yuan Xie, Yanyun Qu
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Adaptive process monitoring via online dictionary learning and its industrial application.
ISA transactions, 2020For industrial processes, one common drawback of conventional process monitoring methods is that they would make an increasing number of false alarms in cases of various factors such as catalyst deactivation, seasonal fluctuation and so forth. To address
Keke Huang +6 more
semanticscholar +1 more source