A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
Sayan GhosalQiang ChenGiulio PergolaAaron L. GoldmanWilliam UlrichKaren Faith BermanGiuseppe BlasiLeonardo FazioAntonio RampinoAlessandro BertolinoDaniel R. WeinbergerVenkata S. MattayArchana VenkataramanPublished in: NeuroImage (2021)
Keyphrases
- low dimensional
- high dimensional
- input space
- high dimensional data
- data points
- lower dimensional
- neural network
- gaussian process latent variable models
- graph embedding
- dimensionality reduction
- discriminative learning
- space time
- higher dimensional
- generative and discriminative models
- latent space
- manifold learning
- dimension reduction
- unsupervised learning
- expectation maximization
- principal component analysis
- search space
- pattern recognition
- genetic algorithm