<tt>KaRMMa</tt> – kappa reconstruction for mass mapping

Reconstruction Filters for Bump Mapping

Ancestral Reconstruction for Association Mapping

One of the greatest promises of modern genetics is the ability to identify loci responsible for, or at least highly correlated with, important physical traits and disease susceptibility. This will enable benefits ranging from improved disease risk assessment and crop design to ultimately a better understanding of how genotype variation effects variations in phenotypes. A key component in this t...

Surface Reconstruction for 3D Robotic Mapping

An important task in mobile robotics is generating consistent environment maps, based on the collected sensor data. In this talk we present a novel method to construct a metric discrete map of the environment, abstracting from the sensor data: The output of a 6D SLAM algorithm is postprocessed to compute a polygonal model. In indoor environments, the model is augmented by an interpretation of t...

Progressive surface reconstruction for heart mapping procedure

The composite imaging ofmeasured cardiac properties like electrical activation and contractile properties on a reconstructed endocardial surface allows for the diagnosis of cardiac arrhythmia and myocardial infarct. However, it is difficult for an interventionalist to acquire heart surface contacts by navigating a catheter to the desired region of interest under minimal visual aid. This paper d...

Mass reconstruction methods for PM2.5: a review

Major components of suspended particulate matter (PM) are inorganic ions, organic matter (OM), elemental carbon (EC), geological minerals, salt, non-mineral elements, and water. Since oxygen (O) and hydrogen (H) are not directly measured in chemical speciation networks, more than ten weighting equations have been applied to account for their presence, thereby approximating gravimetric mass. Ass...