This paper proposes a new method that extends the Efficient Global Optimization to address stochastic black-box systems. The method is based on a kriging meta-model that provides a global prediction of the objective values and a measure of prediction uncertainty at every point. The criterion for the infill sample selection is an augmented Expected Improvement function with desirable properties ...

This paper addresses the issue of computer vision-based face motion capture as an alternative to physical sensor-based technologies. The proposed method combines deformable template-based tracking of mouth and eyes in arbitrary video sequences with a single speaking person with a global 3D head pose estimation procedure yielding robust initializations. Mathematical principles underlying deforma...

This paper is an overview of a method recently published in a biomedical journal (IEEE Transactions on Biomedical Engineering1). The method is based on an optimisation technique called “evolutionary strategy” and it has been designed to estimate the parameters of a complex 15-D respiration model. This model is adaptable to account for patient’s specificities. The aim of the optimisation algorit...

Laser vision correction is a rapidly growing field for correcting nearsightedness, farsightedness as well as astigmatism with dominating laser-assisted in situ keratomileusis (LASIK) procedures. While the technique works well for correcting spherocylindrical aberrations, it does not fully correct high order aberrations (HOAs), in particular spherical aberration (SA), due to unexpected induction...

A physically based algorithm is used for automatic processing of MERIS level 1B full resolution data. The algorithm is originally used with input variables for optimization with different sensors (i.e. channel recalibration and weighting), aquatic regions (i.e. specific inherent optical properties) or atmospheric conditions (i.e. aerosol models). For operational use, however, a lake-specific pa...

We have defined an inverse model for colorimetric characterization of additive displays. It is based on an optimized three-dimensional tetrahedral structure. In order to minimize the number of measurements, the structure is defined using a forward characterization model. Defining a regular grid in the device-dependent destination color space leads to heterogeneous interpolation errors in the de...

In a Statistical Machine Translation system many models, called features, complement each other in producing natural language translations. In how far we should rely on a certain feature is governed by parameters, or weights. Learning these weights is the sub field of SMT, called parameter tuning, that is addressed in this thesis. Three existing methods for learning such parameters are compared...

Downhill running is associated with fiber damage, inflammation, delayed-onset muscle soreness, and various functional deficits. Curcumin, a constituent of the Indian spice turmeric has been investigated for its anti-inflammatory activity and may offset some of the damage and functional deficits associated with downhill running. This study examined the effects of curcumin on inflammation and rec...