Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification

ACM Multimedia 2001, pp.177-186, (2014)

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Supervised learning using deep convolutional neural network has shown its promise in large-scale image classification task. As a building block, it is now well positioned to be part of a larger system that tackles real-life multimedia tasks. An unresolved issue is that such model is trained on a static snapshot of data. Instead, this pape...更多

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