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Education |
Michael Joya
mike @ <this domain> joya @ <cs ualberta domain> Edmonton, Canada |
CPSC 322/422: Artificial Intelligence I/IISearch: A*, Branch & bound, Stochastic local search. Planning: forward, backward & constraint-based. Markov models ie: MDPs, POMDPs. Bayes' nets & acyclic graphs. Belief propagation. Reinforcement learning. Monte Carlo approaches. |
CPSC 340: Machine LearningML vs. MAP vs. Full Bayes. Directed acyclic graph models. Markov Random Fields. Bayes' classifiers. Mixtures of Gaussians. Expectation-Maximization. Model selection, cross-training, overfitting, regularization. |
ISCI 330: Introduction to Game TheoryPareto-Optimality. Nash Equilibria. Domination, minimax/maximin strategies. PD, Hawk/Dove. Iterated games & game trees. Subgame perfect/imperfect. Empirical game theory. Arms races. |
CPSC 425: Computer VisionTemplate-matching w/ convolution. Stereo. Texture filling. Colour constancy. Segmentation. Matching w/ Hough transform & RANSAC. SIFT & feature-based methods. Viola-Jones face detection. |
CPSC 314: Computer GraphicsRendering pipeline from model construction to rasterization. Coordinate systems. Final project included a small 3d game featuring flocking birds. |
CPSC 424: Computational GeometryMathematical models of curves, splines. Polar forms and blossoming techniques. Tensor product surfaces. Bezier triangles. Meshing strategies and operations. |
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