Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation

16 Nov 2016 Yu-An Chung Shao-Wen Yang Hsuan-Tien Lin

While deep neural networks have succeeded in several visual applications, such as object recognition, detection, and localization, by reaching very high classification accuracies, it is important to note that many real-world applications demand varying costs for different types of misclassification errors, thus requiring cost-sensitive classification algorithms. Current models of deep neural networks for cost-sensitive classification are restricted to some specific network structures and limited depth... (read more)

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