Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification.
Felix WangTu-Thach QuachJason WheelerJames B. AimoneConrad D. JamesPublished in: IEEE Trans. Inf. Forensics Secur. (2018)
Keyphrases
- n gram
- sparse coding
- image classification
- feature extraction
- dictionary learning
- feature space
- text classification
- object category recognition
- bag of words
- sparse representation
- unsupervised learning
- language model
- natural images
- feature vectors
- training set
- classification accuracy
- feature selection
- training samples
- supervised learning
- machine learning
- visual words
- image representation
- linear combination
- dimensionality reduction
- sparse codes
- face recognition
- neural network
- pattern recognition
- image features
- web documents
- image patches
- generative model
- information retrieval
- restricted boltzmann machine
- visual categorization
- data analysis
- data mining
- image processing
- training data
- model selection
- multiscale
- principal component analysis
- semi supervised
- support vector machine