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Mapping our universe in 3D by imaging the redshifted 21 cm line from neutral hydrogen has the potential to overtake the cosmic microwave background as our most powerful cosmological probe, because it can map a much larger volume of our Universe, shedding new light on the epoch of reionization, inflation, dark matter, dark energy, and neutrino masses. We report on MITEoR, a pathfinder low-frequency...
Diffusion geometry offers a general framework for multiscale analysis of massive data sets on manifold. However, its applicability is greatly limited due to the lack of work on distributed diffusion computing, as a data set expands over time, it can quickly exceed the processing capacity of a single agent. In this paper, we propose a multi-agent diffusion approach where a massive data set can be split...
Novel perspectives on multiscale information analysis are highly demanded in several areas of multi-agent research, including large-scale agent organization and experience-based decision making. A recent breakthrough in harmonic analysis is diffusion geometry and diffusion wavelets, which offers a general framework for multiscale analysis of massive data sets. In this paper, we investigate the impacts...
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