Sliding window greedy RLS for sparse filters.
Alexandru OnoseBogdan DumitrescuIoan TabusPublished in: ICASSP (2011)
Keyphrases
- sliding window
- regularized least squares
- data streams
- greedy algorithm
- sparse representation
- fixed size
- space efficient
- window size
- window sizes
- adaptive filtering
- least squares
- streaming data
- variable size
- limited memory
- stream data
- hybrid learning
- feature selection
- high dimensional
- search algorithm
- recursive least squares
- continuous queries
- closed frequent itemsets
- orthogonal matching pursuit
- data sets
- real time
- multiresolution
- preprocessing