Combinding KFLD-ISOMAP and SVM for face recognition.
Jun-Ying GanYong-Hui KuangPublished in: ICMLC (2011)
Keyphrases
- face recognition
- linear dimensionality reduction
- principal component analysis
- support vector machine svm
- support vector
- feature mapping
- dimension reduction
- linear discriminant analysis
- dimension reduction methods
- support vector machine
- dimensionality reduction
- kernel pca
- discriminant analysis
- face images
- pattern classification
- nonlinear dimensionality reduction
- recognition rate
- manifold learning
- svm classifier
- multi class
- knn
- data visualization
- local binary pattern
- feature vectors
- laplacian eigenmaps
- subspace methods
- human faces
- feature extraction
- training data
- feature selection
- multidimensional scaling
- svm classification
- machine learning
- euclidean distance
- hyperplane
- sparse representation
- support vectors
- kernel function
- low dimensional
- computer vision
- feature space
- neighborhood graph
- gabor wavelets
- subspace learning
- multi class classification
- ls svm
- classification method