Remote sensing (RS) of biophysical variables plays a vital role in providing the information
necessary for understanding spatio-temporal dynamics in ecosystems. The hybrid approach …

Postural deficits such as hyperlordosis (hollow back) or hyperkyphosis (hunchback) are
relevant health issues. Diagnoses depend on the experience of the examiner and are …

This paper deals with the task of semantic segmentation, which aims to provide a complete
description of an image by inferring a pixelwise labeling. While pixelwise classification is a …

The insufficiency of labeled training data for representing the distribution of entire dataset is
a major obstacle in various practical data mining applications. Semi-supervised learning …

One of the main assumptions in machine learning is that sufficient training data is available
in advance and batch learning can be applied. However, because of the dynamics in a lot of …

In this paper, we tackle the problem of finding microorganisms in bright field microscopy
images, which is an important and challenging step in various tasks, like classifying soil …

Gaussian processes are powerful modeling tools in machine learning which offer wide
applicability for regression and classification tasks due to their non-parametric and non …

In this paper, we tackle the problem of finding microorganisms in bright field microscopy
images, which is an important step in various tasks. Apart from bacteria or fungi, these …

Remote sensing (RS) of biophysical variables plays a vital role in providing the information
necessary for understanding spatio-temporal dynamics in ecosystems. The hybrid approach …

Image segmentation plays a significant role in many applications of computer vision, for
example, computer tomography in medicine or face recognition in video surveillance. Image …