Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures.
Yair BartalOra Nova FandinaKasper Green LarsenPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- johnson lindenstrauss
- high dimensional
- high dimensional data
- high dimensionality
- principal component analysis
- data representation
- pattern recognition
- data points
- low dimensional
- real world
- feature selection
- dimensionality reduction methods
- lower dimensional
- markov decision processes
- supervised dimensionality reduction
- kernel learning
- average cost
- machine learning
- learning algorithm
- optimal solution
- artificial intelligence
- computer vision
- real time
- feature space
- feature extraction