Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities

Endres D, Chiovetto E, Giese MA (2015)
In: Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics. Springer Science + Business Media: 117-137.

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Sammelwerksbeitrag | Veröffentlicht | Englisch
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Dance Notations and Robot Motion
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117-137
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Endres D, Chiovetto E, Giese MA. Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. In: Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics. Springer Science + Business Media; 2015: 117-137.
Endres, D., Chiovetto, E., & Giese, M. A. (2015). Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. Dance Notations and Robot Motion, Springer Tracts in Advanced Robotics, 117-137. Springer Science + Business Media. doi:10.1007/978-3-319-25739-6_6
Endres, D., Chiovetto, E., and Giese, M. A. (2015). “Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities” in Dance Notations and Robot Motion Springer Tracts in Advanced Robotics (Springer Science + Business Media), 117-137.
Endres, D., Chiovetto, E., & Giese, M.A., 2015. Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. In Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics. Springer Science + Business Media, pp. 117-137.
D. Endres, E. Chiovetto, and M.A. Giese, “Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities”, Dance Notations and Robot Motion, Springer Tracts in Advanced Robotics, Springer Science + Business Media, 2015, pp.117-137.
Endres, D., Chiovetto, E., Giese, M.A.: Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics. p. 117-137. Springer Science + Business Media (2015).
Endres, Dominik, Chiovetto, Enrico, and Giese, Martin A. “Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities”. Dance Notations and Robot Motion. Springer Science + Business Media, 2015. Springer Tracts in Advanced Robotics. 117-137.

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