Publication:
Approximate nearest neighbors by deep hashing on large-scale search: Comparison of representations and retrieval performance
Approximate nearest neighbors by deep hashing on large-scale search: Comparison of representations and retrieval performance
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Date
2017-11
Authors
Ocsa, Alexander
Huillca, Jose Luis
Coronado, Ricardo
Quispe, Oscar
Arbieto, Carlos
Lopez, Cristian
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Publisher
IEEE
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Abstract
The growing volume of data and its increasing complexity require even more efficient and faster information retrieval techniques. Approximate nearest neighbor search algorithms based on hashing were proposed to query high-dimensional datasets due to its high retrieval speed and low storage cost. Recent studies promote the use of Convolutional Neural Network (CNN) with hashing techniques to improve the search accuracy.
Description
Keywords
feedforward neural nets,
convolution,
data structures