A combined support vector machine-FCGS classification based on the wavelet transform for Helitrons recognition in C.elegans.
Rabeb TouatiImen MessaoudiAfef Elloumi OueslatiZied LachiriPublished in: Multim. Tools Appl. (2019)
Keyphrases
- support vector machine
- wavelet transform
- feature extraction
- svm classifier
- support vector
- pattern recognition
- classification method
- decision boundary
- automatic recognition
- classification algorithm
- svm classification
- support vector machine svm
- feature vectors
- feature selection
- machine learning
- correct recognition
- classification accuracy
- object classification
- training data
- multiresolution
- image coding
- recognition process
- object recognition
- kernel function
- feature space
- training procedure
- decision trees
- handwritten digits
- recognition rate
- high classification accuracy
- training set
- multi class
- multiresolution analysis
- multi class support vector machines
- generalization ability
- recognition algorithm
- pattern classification
- wavelet coefficients
- image processing
- recognition accuracy
- kernel methods
- high throughput
- high frequency
- small sample
- action recognition
- feature analysis
- training samples
- image compression
- structured output
- image classification
- face recognition