Probabilistic Sequence Translation-Alignment Model for Time-Series Classification
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[1] S. Gong,et al. Conditional Mutual Information Based Boosting for Facial Expression Recognition , 2005 .
[2] Rui Li,et al. Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.
[3] Takeo Kanade,et al. Detection, tracking, and classification of action units in facial expression , 2000, Robotics Auton. Syst..
[4] Trevor Darrell,et al. Hidden Conditional Random Fields for Gesture Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[5] Alex Pentland,et al. Real-time American Sign Language recognition from video using hidden Markov models , 1995 .
[6] F. Itakura,et al. Minimum prediction residual principle applied to speech recognition , 1975 .
[7] Alex Acero,et al. Hidden conditional random fields for phone classification , 2005, INTERSPEECH.
[8] Bin Shen,et al. Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers , 2002, Machine Learning.
[9] Aaron F. Bobick,et al. Parametric Hidden Markov Models for Gesture Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Franz Pernkopf,et al. Discriminative versus generative parameter and structure learning of Bayesian network classifiers , 2005, ICML.
[11] Eamonn J. Keogh,et al. UCR Time Series Data Mining Archive , 1983 .
[12] Robert L. Mercer,et al. The Mathematics of Statistical Machine Translation: Parameter Estimation , 1993, CL.
[13] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[14] Olufemi A. Omitaomu,et al. Weighted dynamic time warping for time series classification , 2011, Pattern Recognit..
[15] Donald J. Berndt,et al. Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.
[16] Eamonn J. Keogh,et al. Derivative Dynamic Time Warping , 2001, SDM.
[17] Eamonn J. Keogh,et al. Three Myths about Dynamic Time Warping Data Mining , 2005, SDM.
[18] Nuno Vasconcelos,et al. Probabilistic kernels for the classification of auto-regressive visual processes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[19] Zhenyu He,et al. Writer identification of Chinese handwriting documents using hidden Markov tree model , 2008, Pattern Recognit..
[20] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[21] David Haussler,et al. Using the Fisher Kernel Method to Detect Remote Protein Homologies , 1999, ISMB.
[22] T. Speed,et al. Biological Sequence Analysis , 1998 .
[23] Hui Zhang,et al. A Non-parametric Wavelet Feature Extractor for Time Series Classification , 2004, PAKDD.
[24] Stefano Soatto,et al. Dynamic Textures , 2003, International Journal of Computer Vision.
[25] Robert P. W. Duin,et al. Component-based discriminative classification for hidden Markov models , 2009, Pattern Recognit..
[26] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[27] Vladimir Pavlovic,et al. Discovering clusters in motion time-series data , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[28] L. R. Rabiner,et al. A probabilistic distance measure for hidden Markov models , 1985, AT&T Technical Journal.
[29] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[30] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[31] Qingshan Liu,et al. RankBoost with l1 regularization for facial expression recognition and intensity estimation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[32] Vladimir Pavlovic,et al. Hidden Conditional Ordinal Random Fields for Sequence Classification , 2010, ECML/PKDD.
[33] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[34] Trevor Darrell,et al. Conditional Random Fields for Object Recognition , 2004, NIPS.