Called LOGAN, the deep neural network, i.e., a machine of sorts, can learn to transform the shapes of two different objects, for example, a chair and a table, in a natural way, without seeing any ...

This is a preview. Log in through your library . Abstract The process of choosing a random triangle inside a compact convex region, K, may be iterated when K itself is a triangle. In this way ...

Some children focused on fewer parts of the object and spent less time studying its details. This suggests they used a ...

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes. When you look at a photograph of a cat, chances are ...