Sparse representation and least squares-based classification in face recognition.
Michael IliadisLeonidas SpinoulasAlbert S. BerahasHaohong WangAggelos K. KatsaggelosPublished in: EUSIPCO (2014)
Keyphrases
- sparse representation
- face recognition
- dictionary learning
- least squares
- image classification
- sparse coding
- feature representation
- compressive sensing
- compressed sensing
- signal processing
- feature extraction
- high dimensional data
- sparse approximations
- robust face recognition
- image patches
- support vector
- pattern recognition
- feature space
- random projections
- negative matrix factorization
- subspace learning
- joint optimization
- feature selection
- image representation
- computer vision
- sparsity constraints
- sparse reconstruction
- sparse codes
- dimensionality reduction
- decision trees
- illumination variations
- sparse representation based classification
- training set
- unsupervised learning
- text classification
- face images
- similarity measure
- dimension reduction
- test images
- face recognition systems
- data sets
- image features
- principal component analysis
- sparse coefficients
- machine learning