SPINE: SParse Interpretable Neural Embeddings.
Anant SubramanianDanish PruthiHarsh JhamtaniTaylor Berg-KirkpatrickEduard H. HovyPublished in: CoRR (2017)
Keyphrases
- high dimensional
- neural network
- network architecture
- low dimensional
- manifold learning
- sparse representation
- bio inspired
- sparse data
- vector space
- dimensionality reduction
- neural model
- compressed sensing
- euclidean space
- x ray images
- pattern recognition
- random projections
- nonlinear predictive control
- image reconstruction
- learning rules
- associative memory
- sparse coding
- compressive sensing
- artificial neural networks
- sparse matrix
- artificial neural
- computational neuroscience
- decision trees