The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
In this paper we present a new optimization technique for the neighborhood computation in connected component labeling focused on images stored in raster scan order. This new tech...
We present an unsupervised blood cell segmentation algorithm for images taken from peripheral blood smear slides. Unlike prior algorithms the method is fast; fully automated; find...
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
This paper presents a method for the registration of range image pairs that were captured from different locations. The proposed approach assumes that a common 3D plane is least v...
Joachim Bauer, Konrad F. Karner, Andreas Klaus, Ro...