DUST is a duality-based pruning method that makes exact multiple change-point detection simple like PELT and efficient like FPOP, with strong duality for up to d constraints.
Parametric statistical change point analysis, volume 192
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
DUST: A Duality-Based Pruning Method For Exact Multiple Change-Point Detection
DUST is a duality-based pruning method that makes exact multiple change-point detection simple like PELT and efficient like FPOP, with strong duality for up to d constraints.