A Latent Manifold Markovian Dynamics Gaussian Process
暂无分享,去创建一个
[1] Radford M. Neal. Probabilistic Inference Using Markov Chain Monte Carlo Methods , 2011 .
[2] Thomas Hofmann,et al. Hidden Markov Support Vector Machines , 2003, ICML.
[3] Martin Fodslette Møller,et al. A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.
[4] J. Zhao,et al. Probabilistic PCA for t distributions , 2006, Neurocomputing.
[5] Daniel P. W. Ellis,et al. A tempo-insensitive distance measure for cover song identification based on chroma features , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[6] Fernando A. Quintana,et al. Nonparametric Bayesian data analysis , 2004 .
[7] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[8] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[9] Michael I. Jordan,et al. Variational methods for the Dirichlet process , 2004, ICML.
[10] Lawrence Carin,et al. Music Analysis Using Hidden Markov Mixture Models , 2007, IEEE Transactions on Signal Processing.
[11] D. Blackwell,et al. Ferguson Distributions Via Polya Urn Schemes , 1973 .
[12] Sotirios Chatzis,et al. Robust Visual Behavior Recognition , 2010, IEEE Signal Processing Magazine.
[13] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[14] T. Ferguson. A Bayesian Analysis of Some Nonparametric Problems , 1973 .
[15] Sotirios Chatzis,et al. Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Remo Guidieri. Res , 1995, RES: Anthropology and Aesthetics.
[17] Mandy Berg,et al. Moment Functions In Image Analysis Theory And Applications , 2016 .
[18] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[19] Lawrence Carin,et al. Hidden Markov Models With Stick-Breaking Priors , 2009, IEEE Transactions on Signal Processing.
[20] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[21] David J. Fleet,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gaussian Process Dynamical Model , 2007 .
[22] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[23] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[24] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[25] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[26] James M. Rehg,et al. Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems , 2008, International Journal of Computer Vision.
[27] Theodora A. Varvarigou,et al. A Threefold Dataset for Activity and Workflow Recognition in Complex Industrial Environments , 2012, IEEE MultiMedia.
[28] Jasper Snoek,et al. Nonparametric guidance of autoencoder representations using label information , 2012, J. Mach. Learn. Res..
[29] Michael I. Jordan,et al. Nonparametric Bayesian Learning of Switching Linear Dynamical Systems , 2008, NIPS.
[30] Michael I. Jordan,et al. Variational inference for Dirichlet process mixtures , 2006 .
[31] G. H. Wakefield,et al. To catch a chorus: using chroma-based representations for audio thumbnailing , 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).
[32] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[33] D. Chandler,et al. Introduction To Modern Statistical Mechanics , 1987 .