Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks

24 Sep 2015Zhiguang WangTim Oates

We propose an off-line approach to explicitly encode temporal patterns spatially as different types of images, namely, Gramian Angular Fields and Markov Transition Fields. This enables the use of techniques from computer vision for feature learning and classification... (read more)

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