Distribution Sensitive Product Quantization.

Product quantization (PQ) seems to have become the most efficient framework of performing approximate nearest neighbor (ANN) search for high-dimensional data. However, almost all existing PQ-based ANN techniques uniformly allocate precious bit budget to each subspace. This is not optimal, because data are often not evenly distributed among different subspaces. A better strategy is to achieve an im...