Machining process classification using PCA reduced histogram features and the Support Vector Machine.
Mohammed Waleed AshourFatimah KhalidAlfian Abdul HalinLili Nurliyana AbdullahPublished in: ICSIPA (2015)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- feature extraction
- classification process
- feature space
- classification method
- feature reduction
- svm classification
- support vector machine svm
- feature set
- classification accuracy
- principle component analysis
- kernel principal component analysis
- multi class
- extracting features
- classification models
- support vector
- principal components analysis
- image classification
- feature selection
- principal component analysis
- nearest neighborhood
- decision boundary
- classification algorithm
- principal components
- textural features
- high classification accuracy
- extracted features
- machine learning
- dimension reduction
- benchmark datasets
- k nearest neighbor
- text classification
- dimensionality reduction
- supervised learning
- image features
- pattern classification
- training set
- knn
- histogram intersection kernel
- data sets
- dimension reduction methods
- rotational invariant
- support vector machine classification
- fisher linear discriminant
- training data
- feature subspace
- pattern recognition
- process planning
- color histogram