Discriminative models for robust image classification

8 Mar 2016Umamahesh Srinivas

A variety of real-world tasks involve the classification of images into pre-determined categories. 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... (read more)

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