A new multiresolution classification model based on partitioning of feature space.
Yinghua HeBo ZhangJianmin LiPublished in: GrC (2005)
Keyphrases
- feature space
- multiresolution
- classification accuracy
- feature vectors
- training set
- support vector machine
- feature set
- pattern recognition
- training samples
- feature selection
- dimension reduction
- high dimensionality
- image classification
- input space
- feature extraction
- machine learning methods
- principal component analysis
- quadtree
- classification scheme
- decision rules
- neural network
- kernel function
- linearly separable
- model selection
- supervised learning
- wavelet transform
- high dimensional
- support vector
- machine learning
- image representation
- unsupervised learning
- support vector machine svm
- dimensionality reduction
- mean shift
- classification algorithm
- data points
- hyperplane
- dissimilarity measure
- similarity measure