In this paper we propose an approach towards adaptive long-term motivating and physically demanding exergames for indoor training. Various previous approaches have been using ergometers (especially ergometer bikes) in interactive applications (mostly virtual cycling simulations) since decades, nevertheless exertainment applications for indoor training are not applied in a broad range. In this p...

In [3], we have presented Description Logics (DLs) as a suitable knowledge representation technology to model the CBR processes. This paper mainly focuses on the adaptation process. We propose a domain independent model to structure the knowledge needed in a CBR system, where adaptation knowledge is explicitly represented. Built upon this model we propose the use of the DL inference mechanisms ...

Introduction The behavior of neurons has been modeled with circuit elements for a long time. Hodgkin and Huxley developed their theory of action potential generation through circuit elements with active variable conductances that generated the non-linear dynamics of the action potential. Luckily for Hodgkin and Huxley, the squid axon which they studied only contained two types of active channel...

This paper addresses the problem of adapting a generic 3D face model to a human face of which the frontal and profile views are given. Assuming that a set of feature points have been detected on both views the adaptation procedure initializes with a rigid transformation of the model aiming to minimize the distances of the 3D model feature nodes from the calculated 3D coordinates of the 2D featu...

We propose an unsupervised dynamic language model (LM) adaptation framework using long-distance latent topic mixtures. The framework employs the Latent Dirichlet Allocation model (LDA) which models the latent topics of a document collection in an unsupervised and Bayesian fashion. In the LDA model, each word is modeled as a mixture of latent topics. Varying topics within a context can be modele...