Large-scale malware classification using random projections and neural networks.
George E. DahlJack W. StokesLi DengDong YuPublished in: ICASSP (2013)
Keyphrases
- random projections
- neural network
- pattern recognition
- dimension reduction
- compressed sensing
- dimensionality reduction
- preprocessing
- high dimensionality
- feature space
- compressive sensing
- digital libraries
- decision trees
- classification accuracy
- signal processing
- model selection
- unsupervised learning
- support vector machine svm
- supervised learning
- image reconstruction
- text classification
- support vector machine
- feature vectors
- high quality
- feature selection
- machine learning