IEEE - Institute of Electrical and Electronics Engineers, Inc. - Learning circulant support vector machines for fast image search

2017 IEEE International Conference on Image Processing (ICIP)

Author(s): Ramin Raziperchikolaei ; Miguel A. Carreira-Perpinan
Sponsor(s): Instit. of Electr. and Electron. Eng. Signal Process. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2017
Conference Location: Beijing, China
Conference Date: 17 September 2017
Page(s): 385 - 389
ISBN (Electronic): 978-1-5090-2175-8
ISBN (USB): 978-1-5090-2174-1
ISSN (Electronic): 2381-8549
DOI: 10.1109/ICIP.2017.8296308
Regular:

Binary hashing is an established approach for fast, approximate image search. It maps a query image to a binary vector so that Hamming distances approximate image similarities. Applying the hash... View More

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