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Kernel-Based Edge-Preserving Methods for Abrupt Change Detection
7 references·0 citing·25 second hop
Kernel-Based Edge-Preserving Methods for Abrupt Change Detection (2019)Kernel-Based Edge-Preserving Methods for …Real-Time Change Point Detection with Application to Smart Home Time Series Data (2018)Real-Time Change Point Detect…Change-point detection in time-series data by relative density-ratio estimation (2013)Change-point detection in tim…Sequential change‐point detection based on direct density‐ratio estimation (2011)Sequential change‐point detec…Fast adaptive algorithms for abrupt change detection (2009)Fast adaptive algorithms for …Automatic Facial Expression Recognition Using Facial Animation Parameters and Multistream HMMs (2006)Automatic Facial Expression R…An online kernel change detection algorithm (2005)An online kernel change detec…The marginalized likelihood ratio test for detecting abrupt changes (1996)The marginalized likelihood r…Nonparametric Methods in Change-Point Problems (1993)Bayesian Online Changepoint Detection (2007)A survey of methods for time series change point detection (2016)Concrete Problems in AI Safety (2016)Selective review of offline change point detection methods (2019)Detecting Change in Data Streams (2004)A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data (2013)Facial Action Coding System (1978)Comprehensive database for facial expression analysis (2002)Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. (2003)Semantic Audiovisual Data Fusion for Automatic Emotion Recognition (2015)A Deep Learning Perspective on the Origin of Facial Expressions (2017)Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition (2020)CONTINUOUS INSPECTION SCHEMES (1954)Change Point Detection with Mean Shift Based on AUC from Symmetric Sliding Windows (2020)Detection of abrupt changes. Theory and application (1994)Detection of Abrupt Changes in Signals and Dynamical Systems (1985)Detecting changes in signals and systems—A survey (1988)Change-point detection with feature selection in high-dimensional time-series data (2013)EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments (2014)Detection of Abrupt Changes: Theory and Applications. (1995)Understanding transportation modes based on GPS data for web applications (2010)Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation (2020)Structural break-aware pairs trading strategy using deep reinforcement learning (2021)Generalized Divergence-based Decision Making Method with an Application to Pattern Classification (2022)
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References

  • 2013Change-point detection in time-series data by relative density-ratio estimation448 cited
  • 2005An online kernel change detection algorithm272 cited
  • 2006Automatic Facial Expression Recognition Using Facial Animation Parameters and Multistream HMMs235 cited
  • 2011Sequential change‐point detection based on direct density‐ratio estimation192 cited
  • 1996The marginalized likelihood ratio test for detecting abrupt changes162 cited
  • 2018Real-Time Change Point Detection with Application to Smart Home Time Series Data124 cited
  • 2009Fast adaptive algorithms for abrupt change detection31 cited

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