Inferring low-dimensional microstructure representations using convolutional neural networks.
Nicholas LubbersTurab LookmanKipton BarrosPublished in: CoRR (2016)
Keyphrases
- convolutional neural networks
- low dimensional
- high dimensional
- convolutional network
- dimensionality reduction
- manifold learning
- high dimensional data
- linear dimensionality reduction
- data points
- principal component analysis
- dimension reduction
- feature representation
- machine learning
- multidimensional scaling
- input space
- linear subspace
- vector space
- support vector
- learning algorithm
- neural network