Approximate convolution using partitioned truncated singular value decomposition filtering.
Joshua AtkinsAdam StraussChen ZhangPublished in: ICASSP (2013)
Keyphrases
- singular value decomposition
- singular values
- reconstruction error
- latent semantic indexing
- least squares
- dimension reduction
- dimensionality reduction
- pattern recognition
- principal component analysis
- latent semantic analysis
- image processing
- low rank
- information retrieval
- computer vision
- data sets
- correlation matrix
- nearest neighbor
- objective function
- null space
- low rank matrix
- measurement matrix
- low rank matrices