Lectures related to Image Processing II

Explores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.

Explores modeling and interpolation techniques in geomatics for accurate surface generation.

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Explores splines, emphasizing the least-squares method for interpolating splines and demonstrating its application using MATLAB.

Explores polynomial interpolation theory, emphasizing error expression and piecewise definition.

Covers the fundamentals of finite element analysis and the application of constitutive laws.

Covers the Finite Element Method, discussing the derivation of the equation of motion and exploring mass and stiffness matrices.

Covers the derivation of the equation of motion, interpolation, Newton's equation, and energy conservation in finite element modeling.