## Lecture slides

### pattern recognition

100+ sets of slides from MSc courses on pattern recognition (I and II) taught at B-IT / University of Bonn

Topics covered include: introduction to linear algebra, introduction to probability theory, least squares techniques, maximum likelihood techniques, Bayesian inference, aspects of learning theory, data clustering, the EM algorithm and Gaussian mixture models, linear discriminant analysis, the curse of dimensionality and dimensionality reduction, constrained optimization, Lagrange multipliers, KKT conditions, gradient descend techniques, gradient free optimization, support vector machines, the kernel trick, perceptron learning, Hebbian learning, multilayer perceptrons and backpropagation

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### game AI

25+ sets of slides from an MSc course on game AI taught at B-IT / University of Bonn

Topics covered include: the history of game AI, important terms and concepts, backward induction and the minmax algorithm, alpha-beta pruning, traditional tree search algorithms, Monte Carlo tree search, path planning and the A* algorithm, motion planning, spatial clustering, self-organizing maps, deterministic finite state machines, fuzzy logic and fuzzy control, probability theory and Bayesian networks, Markov chains, hidden Markov models, reinforcement learning, TD learning, Q learning, genetic algorithms.

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### image processing

25+ sets of slides from an MSc course on image processing taught at B-IT / University of Bonn

Topics covered include: technical foundations of digital imaging, mathematical representations of digital images,properties of vector spaces and coordinate systems, affine and linear transformations, homogeneous coordinates, polar coordinates, complex exponentials, Fourier transforms, low-, band- and high-pass filters, convolutions, Gaussian and linear filters and how to implement them efficiently, non-linear filters, median filters, morphological operations, interpolation techniques, image warping and artistic image effects, bi-linear and perspective mesh warping, image morphing, color spaces, color transformations.

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