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Lecture
Image Denoising and Reconstruction
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Related lectures (30)
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Convex Optimization Problems: Theory and Applications
Explores convex optimization problems, optimality criteria, equivalent problems, and practical applications in transportation and robotics.
Convex Optimization Problems: Standard Form
Covers convex optimization problems, transformation to standard form, and optimality criteria for differentiable objectives.
Lagrangian Duality: Theory and Applications
Explores Lagrangian duality in convex optimization, discussing strong duality, dual solutions, and practical applications in second-order cone programs.
Semi-Definite Programming
Covers semi-definite programming and optimization over positive semidefinite cones.
Convex Optimization: Generalized Inequalities
Explores problems with generalized inequalities in convex optimization and the equivalence between SOCP and SDP.
Legendre Transform
Explores the Legendre transform, duality in convex analysis, and optimization problems.
Optimization Problems: Path Finding and Portfolio Allocation
Covers optimization problems in path finding and portfolio allocation.
Convex Optimization
Introduces convex optimization, focusing on the importance of convexity in algorithms and optimization problems.
Image Processing: Enhancement and Analysis
Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
The Hidden Convex Optimization Landscape of Deep Neural Networks
Explores the hidden convex optimization landscape of deep neural networks, showcasing the transition from non-convex to convex models.
