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Informed Non-convex Robust Principal Component Analysis with Features
The dataset used in this paper is a low-rank matrix M, which can be decomposed into a low-rank component L∗ and a sparse error matrix S∗. The authors use this dataset to test... -
Factors of Transferability for a Generic ConvNet Representation
The dataset is used for transfer learning and feature extraction. -
BBRL Activations Dataset
The dataset used in the paper is a collection of activations from a feature extraction network and a reactive network, used to train a Variational Autoencoder (VAE) to learn...
