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The Inventors have developed low-rank matrix approximation algorithms, designed for approximating large dimensionality, streaming, potentially distributed data in the matrix format, with fixed memory footprint. This technology can be used for a variety of applications that utilize the collection and analysis of extremely large data sets; for example, it can be used for tasks in image analysis or text-processing to reduce the required time and computation cost of such problems.