Embodiments of a deep learning enabled generative sensing and feature regeneration framework which integrates low-end sensors/low quality data with computational intelligence to attain a high recognition accuracy on par with that attained with high-end sensors/high quality data or to optimize a performance measure for a desired task are disclosed.
Systems and methods for feature transformation, correction and regeneration for robust sensing, transmission, computer vision, recognition and classification