Noise robust Automatic Speech Recognition system by integrating Robust Principal Component Analysis (RPCA) and Exemplar-based Sparse Representation.
Mihai GavrilescuPublished in: ECAI (2015)
Keyphrases
- robust principal component analysis
- sparse representation
- low rank
- low rank matrix recovery
- low rank and sparse
- missing data
- dictionary learning
- sparse coding
- high dimensional data
- rank minimization
- image classification
- object tracking
- compressed sensing
- image representation
- norm minimization
- compressive sensing
- machine learning
- face recognition
- convex optimization
- dimensionality reduction
- matrix factorization
- random projections
- signal processing
- foreground detection
- image patches
- video sequences
- subspace learning
- signal recovery
- computer vision
- collaborative filtering
- data mining
- matrix completion
- image reconstruction