High-dimensional computing with sparse vectors.
Mika LaihoJussi H. PoikonenPentti KanervaEero LehtonenPublished in: BioCAS (2015)
Keyphrases
- high dimensional
- sparse data
- lower dimensional
- low dimensional
- high dimensionality
- similarity search
- data points
- vector space
- high dimension
- dimensionality reduction
- additive models
- parameter space
- noisy data
- feature space
- neural network
- variable selection
- sparse coding
- multi dimensional
- nearest neighbor
- feature vectors
- object recognition
- high dimensional feature space
- basis vectors
- small sample size
- generalized linear models
- high dimensional data
- dimension reduction
- input space
- multi modal
- kernel function
- high dimensional spaces
- case study
- high dimensional problems