People Tracking with the Laplacian Eigenmaps Latent Variable Model.
Zhengdong LuMiguel Á. Carreira-PerpiñánCristian SminchisescuPublished in: NIPS (2007)
Keyphrases
- laplacian eigenmaps
- latent variable models
- latent space
- manifold learning
- latent variables
- low dimensional
- kernel pca
- gaussian process
- lower dimensional
- dimensionality reduction
- matrix factorization
- feature space
- generative model
- parameter space
- gaussian processes
- hidden markov models
- high dimensional
- real valued
- latent dirichlet allocation
- high dimensional data
- probabilistic model
- distance metric
- probabilistic latent semantic analysis
- regression model
- training data
- high dimensional spaces
- random projections
- euclidean space
- machine learning
- spectral clustering
- learning problems