Automatic working area classification in peripheral blood smears using spatial distribution features across scales.
Wei XiongSim Heng OngJoo-Hwee LimNn TungJiang LiuDaniel RacoceanuKevin S. W. TanAlvin G. L. ChongKelvin Weng Chiong FoongPublished in: ICPR (2008)
Keyphrases
- spatial distribution
- spatial information
- feature vectors
- feature extraction
- classification accuracy
- classification models
- features extraction
- classification method
- classification process
- feature set
- feature space
- pattern recognition
- support vector
- spatial distance
- grain size
- machine learning
- feature analysis
- class labels
- svm classifier
- statistical classification
- extracted features
- feature subset
- spatial autocorrelation
- benchmark datasets
- text classification
- image features
- decision trees
- feature selection
- high dimensionality
- false positives
- machine learning algorithms
- eeg signals
- image classification
- discriminative features
- support vector machine
- training data
- face recognition