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Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
Stacked sparse denoising auto-encoders (SSDAs) have recently been shown to be successful at removing noise from corrupted images.
Physical Representation-based Predicate Optimization for a Visual Analytics Database
Modern extraction techniques are based on deep convolutional neural networks (CNNs) and can classify objects within images with astounding accuracy.
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