Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
In thispapel; the reduction of inherent ambiguities in StructurefromMotion(SW)using inertialdata isaddressed. First, we show that the translation-rotation ambiguity inS'from ...
In the paper we demonstrate how evolutionary search for functional optima can be used as a vehicle for data mining. That is, in the process of searching for optima in a multi-dime...
We present a new approach for reconstructing a smooth surface from a set of scattered points in three-dimensional (3D) space. Our algorithm first decomposes a given point set int...
Benjamin F. Gregorski, Bernd Hamann, Kenneth I. Jo...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...