"Compressive neural representation of sparse, high-dimensional probabilities".
Xaq PitkowPublished in: NIPS (2012)
Keyphrases
- high dimensional
- sparse data
- compressive sensing
- low dimensional
- random projections
- neural network
- dimensionality reduction
- generalized linear models
- high dimension
- multi dimensional
- sparse coding
- pattern recognition
- dictionary learning for sparse
- bio inspired
- network architecture
- input space
- microarray data
- similarity search
- image representation
- nearest neighbor
- dimension reduction
- high dimensionality
- feature representation
- linear combination
- principal component analysis
- data points
- probability distribution
- object recognition