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numerical experiments

Projection of ellipsoid form 4 to 2 dimensions

Orthogonal projections of multidimensional ellipsoids – VI – considerations and vector generation for numerical experiments in four dimensions

After our recent excursion to Schur complements, some readers may wish to get a visual confirmation of our rather theoretical results. As usual in this blog, we will perform some numerical experiments. To get started, I will restrict my efforts to the projection of an ellipsoid from a 4-dimensional Euclidean space down to three- and two-dimensional sub-spaces. In a later… Read More »Orthogonal projections of multidimensional ellipsoids – VI – considerations and vector generation for numerical experiments in four dimensions

CAE generated face on background of a MND

Latent space distribution of a CAE for face images – I – unenforced Multivariate Normal Distributions

The analysis of face images by a trained Autoencoder and the generation of face images from statistical vectors is a classical task in Machine Learning. In this post series I want to clarify the properties of vector distributions for face images generated by a trained standard Convolutional Autoencoder [CAE] in its latent space. The dataset primarily used is the CelebA… Read More »Latent space distribution of a CAE for face images – I – unenforced Multivariate Normal Distributions