Utilizing Robustness of Krylov Subspace Methods in Reducing the Effort of Sparse Matrix Vector Multiplication.
Ahmad MansourJürgen GötzePublished in: ICCS (2013)
Keyphrases
- sparse matrix
- subspace methods
- floating point
- face recognition
- principal component analysis
- linear discriminant analysis
- random projections
- support vector machine
- video sequences
- pattern recognition
- dimensionality reduction
- benchmark datasets
- fixed point
- image classification
- linear combination
- machine learning
- computer vision