Variational Graphics eXtended - Definition. Was ist Variational Graphics eXtended
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Was (wer) ist Variational Graphics eXtended - definition

OPTICAL DISC-BASED MULTIMEDIA FORMAT
CD plus G; Compact Disc + Extended Graphics; CD G; CD Plus G; CD plus EG; CD-G; Compact Disc plus Extended Graphics; CD+Graphics; CD+EG; CD + Extended Graphics; Compact Disc + Graphics; Karaoke CD
  • Compact Disc Extended Graphics logo
  • frameless

Variational Graphics eXtended      
<software> (VGX) Software developed by SDRC for use in 3D CAD solid modelling. (1998-02-06)
Variational Bayesian methods         
  • Pictorial illustration of coordinate ascent variational inference algorithm by the duality formula<ref name=Yoon2021/>
MATHEMATICAL METHODS USED IN BAYESIAN INFERENCE AND MACHINE LEARNING
Variational bayes; Variational Bayes; Variational Bayesian method; Variational inference; Variational free energy
Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning. They are typically used in complex statistical models consisting of observed variables (usually termed "data") as well as unknown parameters and latent variables, with various sorts of relationships among the three types of random variables, as might be described by a graphical model.
Variational autoencoder         
  • The scheme of the reparameterization trick. The randomness variable <math>{\varepsilon}</math> is injected into the latent space <math>z</math> as external input. In this way, it is possible to backpropagate the gradient without involving stochastic variable during the update.
  • 300x300px
  • The basic scheme of a variational autoencoder. The model receives <math>x</math> as input. The encoder compresses it into the latent space. The decoder receives as input the information sampled from the latent space and produces <math>{x'}</math> as similar as possible to <math>x</math>.
DEEP LEARNING GENERATIVE MODEL TO ENCODE DATA REPRESENTATION
Variational autoencoders
In machine learning, a variational autoencoder (VAE), is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling, belonging to the families of probabilistic graphical models and variational Bayesian methods.

Wikipedia

CD+G

CD+G (also known as CD-G, CD+Graphics and TV-Graphics) is an extension of the compact disc standard that can present low-resolution graphics alongside the audio data on the disc when played on a compatible device. CD+G discs are often used for karaoke machines, which use this functionality to present on-screen lyrics for the song contained on the disc. The CD+G specifications were published by Philips and Sony as an extension of the Red Book (CD standard) specifications.

The first CD to be released with CD+G graphics was Eat or Be Eaten by Firesign Theatre in 1985. The CD+EG is a similar format that allows for better graphics, but has very rarely been implemented in releases.