Linear Algebra for CV/DL

Abstract

Demonstrates PCA and SVD for dimensionality reduction and representation learning.

Methods

• PCA: covariance + eigen decomposition
• SVD: matrix factorization

Results

• Dimensionality reduction achieved
• Trade-offs visualized

Applications

• Face recognition
• Compression
• Feature extraction

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