A Comprehensive Review of Dimensionality Reduction Techniques and their Performance Comparison in Image Processing Applications
This review paper presents an in-depth analysis of dimensionality reduction techniques used in image processing applications, including Correlation-Based Feature Selection, Forward Feature Selection, Linear Discriminant Analysis, Principal Component Analysis (PCA), and Empirical Mode Decomposition (EMD).