Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications.
Qing QuZhihui ZhuXiao LiManolis C. TsakirisJohn WrightRené VidalPublished in: CoRR (2020)
Keyphrases
- data structure
- computational cost
- optimization problems
- orders of magnitude
- computational efficiency
- combinatorial optimization
- binary vectors
- neural network
- principal component analysis
- linear algebra
- machine learning
- feature extraction
- computational complexity
- feature space
- dimensionality reduction
- computationally efficient