A methodology for classification of lesions in mammographies using Zernike Moments, ELM and SVM Neural Networks in a multi-kernel approach.
Sidney M. L. de LimaAbel G. Silva-FilhoWellington Pinheiro dos SantosPublished in: SMC (2014)
Keyphrases
- multi kernel
- zernike moments
- support vector machine svm
- neural network
- multiple kernel learning
- support vector
- feature vectors
- extreme learning machine
- support vector machine
- pattern recognition
- svm classifier
- classification accuracy
- training process
- fourier descriptors
- rotation invariant
- machine learning
- feature space
- shape descriptors
- support vector regression
- support vectors
- feature selection
- multi class
- graph embedding
- affine invariant
- kernel methods
- high order
- knn
- signal processing
- face recognition