one view from another where you basically do some source separation and you're trying to predict the separate parts from each other so this is a slide for Richard Zhang who is also the first author of this line of work so we already saw what a denoising auto-encoder is it basically takes raw data corrupts it and tries to reconstruct the original data now imagine that you can separate the raw data in two different views the best way to understand this is an image can be separated into a color image and the grayscale and you could try to predict