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Related lectures (22)

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Basics of Mobile Robotics: Uncertainties

Explores the fundamentals of mobile robotics, emphasizing uncertainties in localization, sensor fusion, and the Extended Kalman Filter.

Connecting a single neuron to the brain

Emphasizes the importance of connecting a single neuron to the entire brain to understand cascade events at a larger scale.

HPC Infrastructure: Blue Brain Project

Explores the HPC infrastructure of the Blue Brain Project, including multi-compartment neuron refinement and large-scale data processing.

Conformal Transformations

Explores conformal transformations, scale invariance, and critical points in conformal symmetry.

Renormalization Group: Universal Critical Exponents

Explores the universal critical exponents of microscopic systems and the role of the renormalization group.

Image Processing I: Convolutional Neural Networks

Introduces convolutional neural networks for image processing, covering basic components, architectures, and practical applications, including denoising and segmentation.

Edge and Contour

Covers edge and contour detection in images, including gradient-based methods, Laplacian operator, and more complex methods.

Linguistics of Large Numbers

Explores the analysis of large numbers in linguistics and the evolution of language complexity using various texts and corpora.

Untitled

Point Processes: Convergence and Gaussian Processes

Covers point processes, convergence criteria, Laplace functionals, Gaussian processes, covariance functions, and intrinsic stationarity.