Feature Extraction

Feature extraction involves identifying key points, patterns, or characteristics that uniquely represent content. This can include low-level features (edges, corners, texture) or high-level features (shapes, objects). Modern approaches often use deep learning to automatically learn relevant features from data. It transforms data into a lower-dimensional space while retaining meaningful information.

Image processing (edge detection) text analysis (word embeddings) signal processing (frequency components) audio recognition (spectrogram analysis) bioinformatics.