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Bounds for nearest neighbor algorithms and embeddings

2016
In the last two decades, an increasingly large amount of data has become available. Massive collections of videos, astronomical observations, social networking posts, network routing information, mobile location history and so forth are examples of real world data requiring processing for applications ranging from classi?cation to predictions ...
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Algorithmic embeddings.

2006
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. ; Includes bibliographical references (p. 233-242). ; We present several computationally efficient algorithms, and complexity results on low distortion mappings between metric spaces.
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Randomized Algorithm in Embedded Crypto Module

2006
The hardware random number generator is a source of unpredictable, statistically random stream sequences. Critical cryptography applications require the production of an unpredictable and unbiased stream of binary data derived from a fundamental noise mechanism.
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Security-Aware Virtual Network Embedding Algorithm Based on Reinforcement Learning

IEEE Transactions on Network Science and Engineering, 2021
Peiying Zhang +2 more
exaly

Algorithmic Advances for the Adjacency Spectral Embedding