Extracting low-dimensional psychological representations from convolutional neural networks.
Aditi JhaJoshua C. PetersonTom GriffithsPublished in: CogSci (2020)
Keyphrases
- convolutional neural networks
- low dimensional
- high dimensional
- dimensionality reduction
- convolutional network
- high dimensional data
- manifold learning
- principal component analysis
- input space
- dimension reduction
- data points
- automatically extracted
- vector space
- recognizing facial expressions
- linear dimensionality reduction
- euclidean space
- feature space
- machine learning
- higher level
- nearest neighbor
- symbolic representation
- locally linear embedding
- nonlinear dimensionality reduction
- knn
- feature extraction
- social networks