The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Bluespec is a high-level hardware description language used for architectural exploration, hardware modeling and synthesis of semiconductor chips. In Bluespec, one views hardware ...
Abstract. Model transformations play a key role in the vision of Modelngineering. Nevertheless, mechanisms like abstraction, variation and composition for specifying and applying r...
Manuel Wimmer, Gerti Kappel, Angelika Kusel, Werne...
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...