A Robust Subspace Algorithm for Principal Component Analysis.
Andreas WeingesselKurt HornikPublished in: Int. J. Neural Syst. (2003)
Keyphrases
- principal component analysis
- optimal solution
- k means
- dynamic programming
- principal components
- high accuracy
- computationally efficient
- parameter tuning
- detection algorithm
- computational complexity
- computational cost
- worst case
- cost function
- learning algorithm
- simulated annealing
- experimental evaluation
- np hard
- search space
- objective function
- significant improvement
- high dimensional
- lower bound
- similarity measure
- support vector machine svm
- image sequences
- independent component analysis
- feature selection
- recognition algorithm
- data sets
- negative matrix factorization