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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 ...
Evaluating soft biometrics in the context of face recognition
Format:born digital; masters theses
Soft biometrics typically refer to attributes of people such as their gender, the shape of their head, the color of their hair, etc. There is growing interest in soft biometrics as a means of improving automated face ...