Anil Kumar Vadathya

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Reconstruction of signals from compressively sensed measurements is an ill-posed problem. In this paper, we leverage the recurrent generative model, RIDE, as an image prior for compressive image reconstruction. Recurrent networks can model long-range dependencies in images and hence are suitable to handle global multiplexing in reconstruction from(More)
This paper aims to show a new source of inspiration through Butterfly Communication Strategies to the field of Soft Computing. Inspirations and the algorithms that have been proposed already in this field have been surveyed and efforts have been put to provide the understanding of principal communication strategies of butterfly mating along with the(More)
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