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- Yoonho Hwang, Bohyung Han, Hee-Kap Ahn
- 2012 IEEE Conference on Computer Vision and…
- 2012

We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for large-scale computer vision problems. We embed data points nonlinearly onto a low-dimensional space by simple computations and prove that the distance between two points in the embedded space is bounded by the distance in the original space. Instead of… (More)

- Yoonho Hwang, Hee-Kap Ahn
- NIPS
- 2011

Given a set V of n vectors in d-dimensional space, we provide an efficient method for computing quality upper and lower bounds of the Euclidean distances between a pair of vectors in V . For this purpose, we define a distance measure, called the MS-distance, by using the mean and the standard deviation values of vectors in V . Once we compute the mean and… (More)

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