Steganalysis Using High-Dimensional Features Derived from Co-occurrence Matrix and Class-Wise Non-Principal Components Analysis (CNPCA).
Guorong XuanYun Q. ShiCong HuangDongdong FuXiuming ZhuPeiqi ChaiJianjiong GaoPublished in: IWDW (2006)
Keyphrases
- co occurrence
- principal components analysis
- high dimensional
- wordnet
- dimensionality reduction
- covariance matrix
- similarity matrix
- semantic similarity
- semantic relations
- feature space
- linguistically motivated
- nearest neighbor
- probabilistic latent semantic analysis
- named entities
- latent semantic analysis
- word co occurrence
- machine learning
- spatial arrangement
- hand geometry
- principal components
- visual words
- low dimensional
- principal component analysis
- pairwise
- image processing
- computer vision