Output details
11 - Computer Science and Informatics
University of Bath
Output title
Are sparse representations really relevant for image classification?
Type
E - Conference contribution
Name of conference/published proceedings
2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Volume number
-
Issue number
-
First page of article
1545
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
2
Additional information
<22>This paper was published at the prestigious IEEE CVPR (acceptance rate 25%). It added to an ongoing dialogue about the utility of sparsity in image classification and has rapidly been taken up there. These ideas have influenced other authors to examine the role of sparsity in visual recognition, for example, "Sparse representation or collaborative representation: which helps face recognition" (ICCV 2011).
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Graphics & Vision
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
