Compressive neural representation of sparse, high-dimensional probabilities
Xaq PitkowPublished in: CoRR (2012)
Keyphrases
- high dimensional
- compressive sensing
- sparse data
- dimensionality reduction
- low dimensional
- multi dimensional
- random projections
- network architecture
- sparse coding
- image representation
- data points
- probability distribution
- sparse representation
- high dimensional problems
- representation scheme
- generalized linear models
- high dimension
- sparsity constraints
- feature representation
- dimension reduction
- associative memory
- belief networks
- conditional probabilities
- neural network
- high dimensionality
- similarity search
- nearest neighbor
- probabilistic model
- feature space
- multiscale