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Found 4 papers, 2 papers with code
A Constant-per-Iteration Likelihood Ratio Test for Online Changepoint Detection for Exponential Family Models
This is possible by using pruning ideas, which reduce the set of changepoint locations that need to be considered at time $T$ to approximately $\log T$.
Fast Online Changepoint Detection via Functional Pruning CUSUM statistics
Online algorithms for detecting a change in mean often involve using a moving window, or specifying the expected size of change.
Sparse Temporal Disaggregation
Temporal disaggregation is a method commonly used in official statistics to enable high-frequency estimates of key economic indicators, such as GDP.
Subspace Clustering of Very Sparse High-Dimensional Data
In this paper we consider the problem of clustering collections of very short texts using subspace clustering.
