Convolutional Sparse Coding Fast Approximation With Application to Seismic Reflectivity Estimation

In sparse coding, we attempt to extract features of input vectors, assuming that the data is inherently structured as a sparse superposition of basic building blocks. Similarly, neural networks perform a given task by learning features of the training dataset. Recently, both data- and model-driven f...

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