Fast High Dimensional Vector Multiplication Face Recognition.
Oren BarkanJonathan WeillLior WolfHagai AronowitzPublished in: ICCV (2013)
Keyphrases
- high dimensional
- face recognition
- small sample size
- face images
- discriminant analysis
- recognition rate
- recognition accuracy
- floating point
- dimensionality reduction
- low dimensional
- human faces
- similarity search
- face recognition systems
- linear discriminant analysis
- vector space
- feature space
- feature vectors
- variable selection
- sparse data
- local binary pattern
- input space
- nearest neighbor
- facial expressions
- sparse matrix
- data points
- high dimensionality
- microarray data
- subspace methods
- feature extraction
- sparse representation
- multi dimensional
- high dimensional data
- high dimensional problems
- data sets
- kernel principal component analysis
- robust face recognition
- arithmetic operations
- high dimensional datasets
- face databases
- manifold learning
- dimension reduction
- face detection
- principal component analysis
- feature selection