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Discriminative models for robust image classification
Designing image classification algorithms that exhibit robustness to acquisition noise and image distortions, particularly when the available training data are insufficient to learn accurate models, is a significant challenge.
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).
Structured Dictionary Learning for Classification
Sparsity driven signal processing has gained tremendous popularity in the last decade.
Discriminative Local Sparse Representations for Robust Face Recognition
We propose a probabilistic graphical model framework to explicitly mine the conditional dependencies between these distinct sparse local features.
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