Recognition of objects by grasping force using Linear Discriminant Analysis(LDA).
H. E. NabilahWan KhairunizamKamil S. TalhaM. Hazwan AliAbu Bakar ShahrimanZuradzman M. RazlanDesa HazryPublished in: ICCSCE (2015)
Keyphrases
- linear discriminant analysis
- feature extraction
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- recognition rate
- feature space
- discriminant features
- recognition accuracy
- dimension reduction
- small sample size
- pattern recognition
- high dimensional data
- object recognition
- subspace methods
- support vector machine svm
- support vector
- object representation
- gabor features
- class separability
- data sets
- d objects
- linear discriminant
- discriminative information
- pca lda
- null space
- locality preserving projections
- scatter matrices
- kernel discriminant analysis
- dealing with high dimensional data
- recognition algorithm
- novelty detection
- subspace analysis
- object classes
- principal components
- high dimensional
- discriminant information
- fisher discriminant analysis
- scatter matrix
- qr decomposition
- machine learning
- neural network