Now showing items 1-1 of 1
Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets
Format:born digital; doctoral dissertations
Nearest neighbor search is an important operation whose goal is to find items in the dataset that are similar to a given query. It has a number of applications such as content based image retrieval (CBIR), near duplicate ...