Vectors are how machine learning models understand the world. Where people see images, for example, machine learning models see image representations, in the form of vectors. A vector is a very ...

building new solutions with machine learning, particularly using versatile deep learning modules. In this way, image and video coding can be achieved using end-to-end neural network architectures.

This paper proposes a high level latent and shared feature representation from neuroimaging modalities (MRI and PET) via deep learning ... vectors or transforming into a high dimensional kernel space, ...

Pinecone, a machine learning ... elaborated on what vectors are and why they are important: "We are used to data being recorded in a database -- like keys and values, or images, audio, text ...

building new solutions with machine learning, particularly using versatile deep learning modules. In this way, image and video coding can be achieved using end-to-end neural network architectures.