SSGA & EDA based feature selection and weighting for face recognition.
Tamirat AbegazGerry V. DozierKelvin S. BryantJoshua AdamsJoseph SheltonKarl RicanekDamon L. WoodardPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- face recognition
- feature selection
- feature weighting
- web image annotation
- face images
- feature extraction
- text categorization
- recognition rate
- discriminant analysis
- support vector
- classification accuracy
- text classification
- fisher discriminant
- multi class
- support vector machine
- machine learning
- weighting scheme
- computer vision
- dimensionality reduction
- facial images
- mutual information
- principal component analysis
- facial expressions
- linear discriminant analysis
- high dimensionality
- feature subset selection
- classification models
- selected features
- feature selection algorithms
- estimation of distribution algorithms
- irrelevant features
- information gain
- face databases
- feature subset
- face recognition systems
- feature weights
- unsupervised learning
- video sequences
- similarity measure
- method for face recognition
- method for feature selection
- face detection
- tf idf
- recognition accuracy
- microarray data
- model selection
- feature set
- feature space
- information retrieval