Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.
Vikas K. GargM. Narasimha MurtyPublished in: Int. J. Data Min. Model. Manag. (2009)
Keyphrases
- support vector
- feature selection
- handwritten digit recognition
- feature subspace
- kernel function
- high dimensional
- feature space
- multi class
- high dimensional feature space
- support vector machine
- support vector machine svm
- machine learning
- knn
- support vectors
- cost sensitive
- high dimensionality
- kernel methods
- svm classifier
- dimension reduction
- training data
- feature vectors
- training set
- hyperplane
- pattern recognition
- unsupervised learning
- data sets
- feature extraction