Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data
暂无分享,去创建一个
[1] R. Mahler. Multitarget Bayes filtering via first-order multitarget moments , 2003 .
[2] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[3] Dinh Q. Phung,et al. Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes , 2014 .
[4] Dinh Q. Phung,et al. Clustering for point pattern data , 2017, 2016 23rd International Conference on Pattern Recognition (ICPR).
[5] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[6] Dinh Q. Phung,et al. Model-based classification and novelty detection for point pattern data , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[7] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .
[8] D. Stoyan,et al. Stochastic Geometry and Its Applications , 1989 .
[9] Ronald P. S. Mahler,et al. Statistical Multisource-Multitarget Information Fusion , 2007 .
[10] Fanglin Chen,et al. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones , 2014, UbiComp.
[11] Vikram Krishnamurthy,et al. A Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter , 2002, Signal Process..
[12] Svetha Venkatesh,et al. Learning Hierarchical Hidden Markov Models with General State Hierarchy , 2004, AAAI.
[13] Yanning Zhang,et al. Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.
[14] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[15] Ba-Ngu Vo,et al. Bayesian Filtering With Random Finite Set Observations , 2008, IEEE Transactions on Signal Processing.
[16] Scott A. Sisson,et al. Statistical Inference and Simulation for Spatial Point Processes , 2005 .
[17] Svetha Venkatesh,et al. MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[18] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .
[19] Ba-Ngu Vo,et al. A random finite set model for data clustering , 2014, 17th International Conference on Information Fusion (FUSION).
[20] Ba-Ngu Vo,et al. The Cauchy-Schwarz divergence for poisson point processes , 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).
[21] Ba-Ngu Vo,et al. Closed-Form Solutions to Forward–Backward Smoothing , 2012, IEEE Transactions on Signal Processing.
[22] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[23] Ronald P. S. Mahler,et al. Advances in Statistical Multisource-Multitarget Information Fusion , 2014 .
[24] V. Krishnamurthy,et al. On maneuvering target tracking via the PMHT , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.
[25] A. Doucet,et al. Sequential Monte Carlo methods for multitarget filtering with random finite sets , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[26] Svetha Venkatesh,et al. Activity recognition and abnormality detection with the switching hidden semi-Markov model , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).