Mapping Chronicles to a $k$-dimensional Euclidean Space via Random Projections.
Alexandre SahuguèdeSoheib FerganiEuriell Le CorroncMarie-Véronique Le LannPublished in: CASE (2018)
Keyphrases
- euclidean space
- random projections
- low dimensional
- multi dimensional scaling
- dimensionality reduction
- data points
- euclidean distance
- high dimensional
- metric space
- dimension reduction
- vector space
- shape analysis
- image reconstruction
- principal component analysis
- high dimensional data
- sparse representation
- random sampling
- manifold valued
- dimensional euclidean space
- database
- feature space
- multiscale
- neural network
- high dimensionality
- wordnet
- active learning
- pattern recognition
- similarity measure
- data sets