Succinct Representations of Big Data: Binary Embeddings

Low distortion embeddings that transform high-dimensional points to low-dimensional space have played an important role in dealing with storage, information retrieval and machine learning problems for modern (large scale) datasets. Xinyang Yi and Profs. Constantine Caramanis and Eric Price develop novel algorithms with the best-known results for this important problem.

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