Sparse-Learning

Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images
Pixel-level feature detection from images is an essential but challenging task encountered in domains such as detecting defects in …
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Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing
The use of video-imaging data for in-line process monitoring applications has become more and more popular in the industry. In this …
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AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
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Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Multivariate functional data from a complex system are naturally high-dimensional and have complex cross-correlation structure. The …
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