Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
As efforts to develop grid computing solutions gather pace, considerable attention has been directed at defining and addressing technical requirements associated with computationa...
Ernest Sithole, Gerard P. Parr, Sally I. McClean, ...
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
—The projection of a photographic dataset on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is...
Matteo Dellepiane, Ricardo Marroquim, Marco Callie...
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...