Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays.
Karthik LakshmananPatrick T. SadtlerElizabeth C. Tyler-KabaraAaron P. BatistaByron M. YuPublished in: Neural Comput. (2015)
Keyphrases
- low dimensional
- latent structure
- multidimensional scaling
- high dimensional
- dimensionality reduction
- high dimensional data
- feature space
- euclidean space
- manifold learning
- data points
- principal component analysis
- dimension reduction
- vector space
- lower dimensional
- generative model
- discriminative learning
- input space
- latent variables
- negative matrix factorization
- hidden markov models
- euclidean distance