Conference
Image Retrieval via Canonical Correlation Analysis
Abstract
Canonical Correlation Analysis (CCA) is a powerful multivariate statistical method. It can be used to find, for a given dimension, a projection pair that maximally captures the correlation between two target random vectors. This work introduces a CCA-based approach for image retrieval. It capitalizes on feature maps extracted from a pre-trained Convolutional Neural Network (CNN) and leverages basis vectors identified via CCA, in conjunction …
Authors
Shi K; Liu X; Alrabeiah M; Guo X; Lin J; Liu H; Chen J
Volume
00
Pagination
pp. 1-6
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
June 5, 2019
DOI
10.1109/cwit.2019.8929919
Name of conference
2019 16th Canadian Workshop on Information Theory (CWIT)