Learning optimally separated class-specific subspace representations using convolutional autoencoder

no code implementations • 19 May 2021 • Krishan Sharma, Shikha Gupta, Renu Rameshan

In this work, we propose a novel convolutional autoencoder based architecture to generate subspace specific feature representations that are best suited for classification task.

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