Subspace neural physics: fast data-driven interactive simulation.
Daniel HoldenBang Chi DuongSayantan DattaDerek NowrouzezahraiPublished in: Symposium on Computer Animation (2019)
Keyphrases
- data driven
- network architecture
- computer science
- neural network
- artificial intelligence
- subspace clustering
- principal component analysis
- high dimensional
- low dimensional
- high dimensional data
- artificial neural
- bio inspired
- subspace learning
- dimensionality reduction
- fitted q iteration
- kernel based nonlinear
- clustering high dimensional data
- neural fuzzy
- connectionist models
- lower dimensional
- data analysis
- learning rules
- linear subspace
- neural model
- subspace clusters
- neural architecture
- feature selection
- associative memory
- principal components
- clustering method
- feature space