… open kernel for conics and related computations, that we aim at extending towards a more
general curved kernel … geometric linear kernel (ie., for linear objects) and an algebraic kernel. …

… We consider kernel methods on general geodesic metric … kernel can only be generalized to
a positive definite kernel on a … manifold, the geodesic Gaussian kernel is only positive definite …

… curves and surfaces. Further, the presented algorithm can be applied to find the gamma-kernel
as well as the kernel domain of open curves … surfaces, where all surfaces face towards …

… as Gaussian curvature, mean curvature, principal curvature, … and then applying the curvature
formulas in classical differential … the mean curvature. Subsequently, the estimated mean …

… towards linear primitives, a recent trend in computational geometry has been the design of
algorithms and programs geared towards curves and … of a kernel concept for curved objects …

… also opens the way towards an efficient integration of auxiliary information by means of Fisher
kernel t-… The training and test curves of Fisher kernel t-SNE proceed similarly as those of …

… Our kernel is parameterized in the coefficient type of the algebraic curves, and thus
generically … Towards an open curved kernel. In Proc. of the 20th Annual Symposium on Comp. …

… an exact parameterization of the appearing intersection curves. The second approach, which
… curves. This report provides a dedicated empirical comparison of both approaches towards …

… will cause the running time of the application to change towards the direction that we desrcibed
above. The 2D circular kernel is a superset of the linear kernel to which it is templated, so …

… (f), the curves are plotted with respect to m … curves for the unweighted estimator have some
significant gaps with those of the weighted estimator, while in the bounded case, these curves …