A recursive least squares algorithm with ℓ1 regularization for sparse representation.
Di LiuSimone BaldiQuan LiuWenwu YuPublished in: Sci. China Inf. Sci. (2023)
Keyphrases
- sparse representation
- recursive least squares
- learning algorithm
- negative matrix factorization
- gradient method
- multiscale
- training set
- probabilistic model
- knn
- nearest neighbor
- input image
- dimensionality reduction
- image representation
- computer vision
- object tracking
- kalman filter
- convergence rate
- dictionary learning
- neural network