Blogs

Singularities and Image Structure: Foundations of Visual Signal Representation

Motion Estimation and Temporal Dynamics in Visual Signals

Matrix Decompositions, Subspaces, and Dimensionality Reduction

Linear Transformations, Eigenanalysis, and Matrix Representations

Vector Spaces, Distance Metrics, and Clustering in High-Dimensional Data

Frequency Analysis and Spatial Filtering in Images

Understanding Gradient Descent and Its Variants

Foundations of Image Representation and Analysis: Gradients, Frequency-Domain Methods, Motion, and Image Stitching

Shot Prompting (Explained on Amazon ML Challenge 2024 Dataset)