https://www.selleckchem.com/pr....oducts/ly2606368.htm
We learn the linear and non-linear transformations by maximizing the inter-class distance and minimizing the intra-class scatter. In this way, the proposed OWDA and DeepOWDA are able to concentrate on the distinctive differences among classes by lifting the geometric relations with temporal constraints. Experiments on four 3D action recognition datasets show the effectiveness of OWDA and DeepOWDA.Modeling 3D humans accurately and robustly from a single image is very challenging, and the key for such an ill-posed problem is the 3D repr
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