image-processing

Eigenimages and dimensionality reduction

taught

Diagonalizing the dataset's covariance matrix into eigenimages ranked by eigenvalue, and keeping only the top K as a genuine dimensionality reduction.

Taught in

PCA and eigen-decomposition, recalled
Computer Vision
Eigenimages and dimensionality reduction
Digital Image Processing

Requires

the-covariance-matrix-of-an-image-dataset required

Required by

Reconstruction and compression via PCA required

Local knowledge map

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