SPINE: SParse Interpretable Neural Embeddings.
Anant SubramanianDanish PruthiHarsh JhamtaniTaylor Berg-KirkpatrickEduard H. HovyPublished in: AAAI (2018)
Keyphrases
- network architecture
- neural network
- high dimensional
- low dimensional
- sparse data
- bio inspired
- nonlinear predictive control
- sparse representation
- multiscale
- decision trees
- artificial neural
- compressed sensing
- dimensionality reduction
- x ray images
- sparse coding
- vector space
- feature vectors
- artificial neural networks
- dictionary learning
- learning rules
- compressive sensing
- canonical correlation analysis
- manifold learning
- sparse matrix
- neural fuzzy
- neural computation
- computational neuroscience