Age and gender recognition for telephone applications based on GMM supervectors and support vector machines.
Tobias BockletAndreas K. MaierJosef G. BauerFelix BurkhardtElmar NöthPublished in: ICASSP (2008)
Keyphrases
- gender recognition
- support vector
- large margin classifiers
- learning machines
- gaussian mixture model
- gender classification
- depth images
- support vector machine
- face images
- logistic regression
- classification accuracy
- loss function
- em algorithm
- facial appearance
- multi class
- model selection
- expectation maximization
- feature vectors
- feature selection
- mixture model
- image data
- similarity measure
- three dimensional
- speaker recognition
- computer vision
- data sets