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Analysis of convolutional neural network image classifiers in a rotationally symmetric model
Convolutional neural network image classifiers are defined and the rate of convergence of the misclassification risk of the estimates towards the optimal misclassification risk is analyzed.
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling
Image classification is considered, and a hierarchical max-pooling model with additional local pooling is introduced.
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy
Despite successes with optical biopsy for in vivo and in situ tissue characterisation, biopsy retargeting for serial examinations is challenging because tissue may change in appearance between examinations.
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