Gender classification by principal component analysis and support vector machine.
Sunita KumariPankaj Kumar SaBanshidhar MajhiPublished in: ICCCS (2011)
Keyphrases
- gender classification
- principal component analysis
- support vector machine
- principal geodesic analysis
- face databases
- dimension reduction methods
- facial needle maps
- feature space
- facial images
- face recognition
- principal components
- face alignment
- gender recognition
- face images
- multi class
- feature vectors
- feature extraction
- covariance matrix
- support vector
- training data
- machine learning
- dimensionality reduction
- training set
- recognition rate
- recognition algorithm
- kernel function
- feature selection
- face detection
- gait recognition