Paper Info
Title
Evaluation of Hashing Methods Performance on Binary Feature Descriptors.
Abstract
In this paper we evaluate performance of data-dependent hashing methods on binary data. The goal is to find a hashing method that can effectively produce lower dimensional binary representation of 512-bit FREAK descriptors. A representative sample of recent unsupervised, semi-supervised and supervised hashing methods was experimentally evaluated on large datasets of labelled binary FREAK feature descriptors.
Year
DOI
Venue
2017
10.1007/978-3-319-68720-9_12
IP&C
DocType
Volume
Citations 
Conference
abs/1707.06825
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Jacek Komorowski144.13
Tomasz Trzcinski251724.18