The Faculty of Mathematics and Natural Sciences: Search
Now showing items 81-90 of 172
Reverse engineering of biological signaling networks via integration of data and knowledge using probabilistic graphical models
(2014-10-29)
Motivation
The postulate that biological molecules rather act together in intricate networks, pioneered systems biology and popularized the study on approaches to reconstruct and understand these networks. These ...
The postulate that biological molecules rather act together in intricate networks, pioneered systems biology and popularized the study on approaches to reconstruct and understand these networks. These ...
Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception
(2014-12-12)
One perspective for artificial intelligence research is to build machines that perform tasks autonomously in our complex everyday environments. This setting poses challenges to the development of perception skills: A robot ...
Graphical Models and Symmetries: Loopy Belief Propagation Approaches
(2014-08-29)
Whenever a person or an automated system has to reason in uncertain domains, probability theory is necessary. Probabilistic graphical models allow us to build statistical models that capture complex dependencies between ...
Koordination und Kooperation von Mehrrobotersystemen unter spatialen Nebenbedingungen
(2014-10-07)
Schon die Steuerung eines einzelnen Roboters ist komplex und erfordert oft ein intensives Training. Soll ein System aus mehreren Robotern kontrolliert werden, potenziert sich diese Schwierigkeit. Zudem müssen neben dem ...
3D Reconstruction of Plant Architecture by Grammar-based Modeling and Markov Chain Sampling
(2014-09-11)
The world population is growing rapidly. As a consequence increasingly more products of crop plants are needed. Here, plant breeding gains a special significance. The goal of plant breeding is to develop new cultivars that ...
Methods for Learning Structured Prediction in Semantic Segmentation of Natural Images
(2014-09-15)
Automatic segmentation and recognition of semantic classes in natural images is an important open problem in computer vision. In this work, we investigate three different approaches to recognition: without supervision, ...
Saliency Methods for Object Discovery Based on Image and Depth Segmentation
(2016-07-26)
Object discovery is a recent paradigm in computer and robotic vision where the process of interpreting an image starts by proposing a set of candidate regions that potentially correspond to objects; these candidates can ...
Finding Common Patterns In Heterogeneous Perturbation Data
(2016-05-24)
This work investigates and proposes statistical analysis methods for pattern detection in high-throughput data from perturbation experiments in biology and medicine. This is demonstrated in three examples.
The first ...
The first ...
Analysis of Biochemical Reaction Networks using Tropical and Polyhedral Geometry Methods
(2016-12-21)
The field of systems biology makes an attempt to realise various biological functions and processes as the emergent properties of the underlying biochemical network model. The area of computational systems biology deals ...
Acquisition, Transmission and Rendering of Objects with Optically Complicated Material Appearance
(2015-12-10)
A major goal in computer graphics is the generation of photorealistic images. Nowadays, the degree of realism is often not restricted by the rendering algorithm but instead mainly depends on the quality of the virtual scene ...