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Due to the visual ambiguity, purely kinematic formulations on monocular human motion capture are often physically incorrect, biomechanically implausible, and can not reconstruct accurate interactions.
Statistical methods for tomographic image reconstruction
Stuart Geman · 1987
Earlier work this paper cites.
Study of dynamic biped locomotion on rugged terrain-derivation and application of the linear inverted pendulum mode
Shuuji Kajita and Kazuo Tani · 1991
Earlier work this paper cites.
Sensor-actuator networks
Michiel Van de Panne and Eugene Fiume · 1993
Earlier work this paper cites.
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Arthur D Kuo · 2001
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, Andrew Y Ng, et al · 2013
Earlier work this paper cites.
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Earlier work this paper cites.
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Vladimir G Kim, Siddhartha Chaudhuri, Leonidas Guibas, and Thomas Funkhouser · 2014
Earlier work this paper cites.
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