Acoustic imaging of sparse Sources with Orthogonal Matching Pursuit and clustering of basis vectors.
Trond F. BerghInes HafizovicSverre HolmPublished in: ICASSP (2017)
Keyphrases
- basis vectors
- sparse representation
- orthogonal matching pursuit
- nonnegative matrix factorization
- sparse coding
- linear combination
- sparse approximation
- compressed sensing
- compressive sensing
- high dimensional data
- clustering algorithm
- feature space
- image classification
- clustering method
- face recognition
- negative matrix factorization
- transform domain
- basis functions
- feature selection
- random projections
- training samples
- image processing
- original data
- k means
- data points
- dimensionality reduction
- signal processing
- image patches
- document clustering
- computer vision
- unsupervised learning
- natural images
- low dimensional
- image reconstruction
- spectral clustering
- high dimensional
- cluster analysis