Modeling Human Motion Using Binary Latent Variables
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[1] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[2] Pascal Fua,et al. Style‐Based Motion Synthesis † , 2004, Comput. Graph. Forum.
[3] Kari Pulli,et al. Style translation for human motion , 2005, SIGGRAPH 2005.
[4] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[5] Yee Whye Teh,et al. Rate-coded Restricted Boltzmann Machines for Face Recognition , 2000, NIPS.
[6] David Haussler,et al. Unsupervised learning of distributions on binary vectors using two layer networks , 1991, NIPS 1991.
[7] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[8] David A. Forsyth,et al. Motion synthesis from annotations , 2003, ACM Trans. Graph..
[9] Geoffrey E. Hinton,et al. Learning Multilevel Distributed Representations for High-Dimensional Sequences , 2007, AISTATS.
[10] Harry Shum,et al. Motion texture: a two-level statistical model for character motion synthesis , 2002, ACM Trans. Graph..
[11] Aaron Hertzmann,et al. Style machines , 2000, SIGGRAPH 2000.
[12] C. Karen Liu,et al. Learning physics-based motion style with nonlinear inverse optimization , 2005, ACM Trans. Graph..
[13] F. Sebastian Grassia,et al. Practical Parameterization of Rotations Using the Exponential Map , 1998, J. Graphics, GPU, & Game Tools.
[14] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.