We study how to learn multiple dictionaries from a dataset, and approxim...
Product quantization-based approaches are effective to encode
high-dimen...
In this paper, we propose a new data structure for approximate nearest
n...
K-means, a simple and effective clustering algorithm, is one of the most...
The k-NN graph has played a central role in increasingly popular
data-dr...
In this paper, we address a problem of managing tagged images with hybri...