Tailored PCA selects a small set of low-variance projections and monitors them sequentially, detecting sparse mean, variance, and correlation changes faster than raw-data mixture baselines.
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Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections
Tailored PCA selects a small set of low-variance projections and monitors them sequentially, detecting sparse mean, variance, and correlation changes faster than raw-data mixture baselines.