CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning

28 May 2020Yinan WangWeihongGuoXiaowei Yue

Feature extraction for tensor data serves as an important step in many tasks such as anomaly detection, process monitoring, image classification, and quality control. Although many methods have been proposed for tensor feature extraction, there are still two challenges that need to be addressed: 1) how to reduce the computation cost for high dimensional and large volume tensor data; 2) how to interpret the output features and evaluate their significance... (read more)

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