Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder
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[1] Tatsuya Hirose,et al. Abstraction Multimodal Low-Dimensional Representation from High-Dimensional Posture Information and Visual Images , 2013, J. Robotics Mechatronics.
[2] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[3] Michael I. Jordan,et al. Sharing Features among Dynamical Systems with Beta Processes , 2009, NIPS.
[4] Christian Wolf,et al. Sequential Deep Learning for Human Action Recognition , 2011, HBU.
[5] Johan Håstad,et al. On the power of small-depth threshold circuits , 1991, computational complexity.
[6] Naoto Iwahashi,et al. Unsupervised Segmentation of Human Motion Data Using a Sticky Hierarchical Dirichlet Process-Hidden Markov Model and Minimal Description Length-Based Chunking Method for Imitation Learning , 2011, Adv. Robotics.
[7] Neil D. Lawrence,et al. Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data , 2003, NIPS.
[8] B. Schölkopf,et al. Modeling Human Motion Using Binary Latent Variables , 2007 .
[9] Keita Hamahata,et al. Unsupervised Segmentation of Human Motion Data Using Sticky HDP-HMM and MDL-based Chunking Method for Imitation Learning , 2011 .
[10] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[11] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[12] 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 .
[13] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[14] M WangJack,et al. Gaussian Process Dynamical Models for Human Motion , 2008 .
[15] Tadahiro Taniguchi,et al. Double articulation analyzer for unsegmented human motion using Pitman-Yor language model and infinite hidden Markov model , 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).
[16] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[17] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..