Gene Expression Profile Classification Using Random Projection and Sparse Representation.
X. HangPublished in: ICMLA (2) (2013)
Keyphrases
- sparse representation
- random projections
- dictionary learning
- image classification
- compressed sensing
- gene expression profiles
- compressive sensing
- dimension reduction
- dimensionality reduction
- sparse coding
- high dimensionality
- feature extraction
- pattern recognition
- signal processing
- principal component analysis
- face recognition
- support vector machine
- image representation
- high dimensional data
- decision trees
- image reconstruction
- unsupervised learning
- original data
- microarray
- self organizing maps
- microarray data
- machine learning
- model selection
- feature set
- supervised learning
- feature vectors
- multiscale
- image segmentation
- feature selection