Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea.
Xiaoli LiPengcheng NieZhengjun QiuYong HePublished in: Expert Syst. Appl. (2011)
Keyphrases
- multi class
- support vector machine
- multi class classifier
- wavelet transform
- multiclass classification
- multi class classification
- binary classifiers
- binary and multi class
- cost sensitive
- multiple classes
- multi class boosting
- multi class svm
- error correcting output codes
- binary classification problems
- multi class svms
- binary classification
- feature selection
- pairwise
- multi class problems
- svm classifier
- machine learning
- classification accuracy
- object detection
- feature vectors
- binary classification tasks
- probabilistic boosting tree
- decision trees
- training set
- multiresolution
- protein classification
- training samples
- class labels
- data sets
- kernel logistic regression
- feature extraction
- multiscale
- support vector
- improve the classification accuracy
- multi task
- image compression
- image classification
- text classification
- cross validation
- model selection
- computer vision
- cost sensitive learning