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Found 3 papers, 1 papers with code
Adaptive matching pursuit for sparse signal recovery
Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference.
Learning a low-rank shared dictionary for object classification
Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns.
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure.
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