Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam.
Dimitris GavrilisIoannis G. TsoulosEvangelos DermatasPublished in: SETN (2006)
Keyphrases
- robust detection
- feature detection
- feature extraction
- image features
- pattern recognition
- feature vectors
- discrimination power
- recognition accuracy
- visual object recognition
- object recognition
- feature set
- spam detection
- genetic algorithm
- robust recognition
- spam filtering
- spam classification
- detection algorithm
- recognition rate
- low level
- feature space
- pre classified
- anti spam
- handwritten characters
- preprocessing
- similarity measure
- computer vision