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Found 3 papers, 1 papers with code
Enhanced Signal Recovery via Sparsity Inducing Image Priors
Parsimony in signal representation is a topic of active research.
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning
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 structures.
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC).
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