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Investigation and optimization of managed stochastic devices. Types: linear and nonlinear stochastic controlled programs, controlled Markov chains. Optimization of methods described by Markov processes; dynamic programming underneath fantastic and imperfect information, finite and infinite horizons.
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An introduction to 2D and 3D computer eyesight. Matters involve: cameras types, the geometry of numerous sights; condition reconstruction approaches from Visible cues; very low-amount picture processing approaches like element detection; large-degree vision troubles for example item recognition and scene understanding. CourseProfile (ATLAS)
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