暂无分享,去创建一个
[1] V. Vapnik. The Support Vector Method of Function Estimation , 1998 .
[2] V. Moskvina,et al. An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection , 2003 .
[3] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[4] Roman Garnett,et al. Sequential Bayesian prediction in the presence of changepoints , 2009, ICML '09.
[5] Jaideep Srivastava,et al. Event detection from time series data , 1999, KDD '99.
[6] Tsuyoshi Idé,et al. Change-Point Detection using Krylov Subspace Learning , 2007, SDM.
[7] Kenji Yamanishi,et al. A unifying framework for detecting outliers and change points from non-stationary time series data , 2002, KDD.
[8] Ryan P. Adams,et al. Bayesian Online Changepoint Detection , 2007, 0710.3742.
[9] U. Paquet. Empirical Bayesian Change Point Detection , 2007 .
[10] Masashi Sugiyama,et al. Change-point detection in time-series data by relative density-ratio estimation , 2012 .
[11] J. Hartigan,et al. A Bayesian Analysis for Change Point Problems , 1993 .
[12] P. Fearnhead,et al. Efficient Online Inference for Multiple Changepoint Problems , 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.
[13] F. Gustafsson. The marginalized likelihood ratio test for detecting abrupt changes , 1996, IEEE Trans. Autom. Control..
[14] Visakan Kadirkamanathan,et al. Particle filtering-based fault detection in non-linear stochastic systems , 2002, Int. J. Syst. Sci..
[15] Masashi Sugiyama,et al. Sequential change‐point detection based on direct density‐ratio estimation , 2012, Stat. Anal. Data Min..
[16] Graham J. Williams,et al. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms , 2000, KDD '00.
[17] Yoshinobu Kawahara,et al. Change-Point Detection in Time-Series Data Based on Subspace Identification , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[18] H. Chernoff,et al. ESTIMATING THE CURRENT MEAN OF A NORMAL DISTRIBUTION WHICH IS SUBJECTED TO CHANGES IN TIME , 1964 .
[19] Kenji Yamanishi,et al. A unifying framework for detecting outliers and change points from time series , 2006, IEEE Transactions on Knowledge and Data Engineering.
[20] Thomas Kerr,et al. Decentralized Filtering and Redundancy Management for Multisensor Navigation , 1987, IEEE Transactions on Aerospace and Electronic Systems.
[21] C. Doncarli,et al. Stationarity index for abrupt changes detection in the time-frequency plane , 1996, IEEE Signal Processing Letters.
[22] N. Chopin. Dynamic Detection of Change Points in Long Time Series , 2007 .
[23] Robert Lund,et al. A Review and Comparison of Changepoint Detection Techniques for Climate Data , 2007 .
[24] Manuel Davy,et al. An online kernel change detection algorithm , 2005, IEEE Transactions on Signal Processing.