Prior-knowledge use in neural networks, for example, knowledge of a physical system, allows network training to be tailored specific problems. Literature shows that prior-knowledge enhances predictive performance. Research date focuses on parametric optimization rather than structure optimization. We present new framework optimize the using prior-knowledge. This is achieved through optimizing n...

Estimating three-dimensional (3D) human poses from the positions of two-dimensional (2D) joints has shown promising results. However, using 2D joint coordinates as input loses more information than image-based approaches and results in ambiguity. To overcome this problem, we combine bone length camera parameters with for input. This combination is discriminative that it can improve accuracy mod...