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Summer Term 2004Image Analysis and Image Understanding (2 Lectures + 2 Exercises, Kurth / Mangoldt) Lectures: Thursday, 13:45-15:15, EH 214 Exercises: Thursday, 07:30-09:00, EH 214 Keywords: Perception and cognitive
psychology; point operations, folding,
local window operations, morphological operations, Fourier transformation,
wavelets; segmentation procedures, matching, classification;
knowledge representation for image understanding; neural networks; analysis of
stereo images, analysis of frame sequences. Wednesday, 09:15-10:45, EH 214 Under "Data Mining" we subsume methods for the
automatic recognition of patterns in large collections of data (e.g. data bases of
complete enterprises, sensor data, network transfer data).
For these methods, foundations from statistics, algebra and learning theory
will be provided. Keywords: Construction of decision trees,
Bayes classification, association rules, concept lattices, linear models,
data cubes, learing paradigms, PAC model, Occam's razor, learing from noisy examples,
online learning. Tuesday, 15:30-17:00, EH 214 Development trends and structures in the
print media industry; fonts, techniques for preparation for printing, colour spaces,
colour management; reproduction technique; software in the preparation for printing;
scan process, digital cameras, workflow systems; CD and DVD technique, data
archiving; printing methods; cost calculation; supplementary processing
techniques. Tuesday, 17:30-19:00, EH 214 Selected, recent texts about image
segmentation and methods of 3D data evaluation with applications in the virtual
reconstruction of scenes will be read and discussed. A focus will lie on the
utilization of prior knowledge about the expected objects in a scene during
object identification and classification. Wednesday, 17:30-19:00, EH 214 After an intensive short course concerning
foundations of bioinformatics the participants will have the opportunity to work at
typical tasks of analysis and visualization in small, competently supervises projects:
Pattern matching in DNA sequences, visualization of protein structures,
modelling morphology and genetics of an agrarian crop plant with graph grammmars,
fractal dimension analysis, and other topics for choice.
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Last Modifications: October 11, 2004 |