Image Processing Basics

Related lectures (26)

Page 1 of 3

Explores the ingredients and selection of algorithms for different goals.

Explains pointers in C, focusing on passing by reference and memory management techniques.

Introduces compiler theory, language processing, and the essential concepts behind building compilers.

Covers the implementation and manipulation of dynamic arrays in C++ using vectors, focusing on their features and performance implications.

Explores advanced Spark topics like partitioning strategies, memory optimization, and shuffle operations for efficient job execution.

Explores the transition from algorithms to programs through compilation, emphasizing constraints and machine-understandable coding practices.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Covers the basics of C++ standard library containers, algorithms, and iterators.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.