Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification
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DOI: 10.1109/access.2021.3078232
Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification has become a hot research topic in recent years. Sparse representation plays an important role in image processing. However, almost all the existing dictionary learning methods are linear… read more here.
Keywords: projective dictionary; image classification; image; polsar image ... See more keywords
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning
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DOI: 10.1109/tcst.2022.3210407
Abstract: Industrial data generally exhibit nonstationary features due to load changes, external disturbances, etc., which raise great challenges for process monitoring. Most existing methods for nonstationary process monitoring use a two-stage strategy, where stationary series are… read more here.
Keywords: stationary projective; nonstationary industrial; process monitoring; monitoring ... See more keywords
Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3168300
Abstract: Industrial process data have the characteristics of less label, multimode, high dimension, containing noise, and mixing with outliers, which increase the difficulty of mode identification and anomaly detection in process monitoring using limited labeled data.… read more here.
Keywords: industrial process; semi supervised; projective dictionary; process ... See more keywords