Non-linear generative embeddings for kernels on latent variable models.
Anna C. CarliManuele BicegoSisto BaldoVittorio MurinoPublished in: ICCV Workshops (2009)
Keyphrases
- latent variable models
- latent space
- gaussian process latent variable models
- feature space
- latent variables
- gaussian processes
- generative model
- discriminative learning
- low dimensional
- gaussian process
- manifold learning
- kernel function
- dimensionality reduction
- real valued
- parameter space
- high dimensional data
- latent dirichlet allocation
- kernel methods
- lower dimensional
- hidden markov models
- high dimensional
- probabilistic model
- support vector
- matrix factorization
- hidden variables
- multiple kernel learning
- vector space
- learning problems
- probabilistic latent semantic analysis
- principal component analysis
- distance measure
- information extraction
- data points