Poisson Disk sampling patterns are of interest to the graphics community because their blue-noise properties are desirable in sampling patterns for rendering, illumination, and ot...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
We present an algorithm for the linearization of hybrid processes modeled in hybrid process algebra (HyPA) and prove its correctness. HyPA is a formalism that is suitable for the ...
P. C. W. den Brand van, Michel A. Reniers, Pieter ...
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...