Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Surrey
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Article title
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
Type
D - Journal article
DOI
-
Title of journal
Journal of Machine Learning Research
Article number
-
Volume number
13
Issue number
-
First page of article
1064
ISSN of journal
1532-4435
Year of publication
2009
Number of additional authors
-
Additional information
In contrast to the majority of research activities in the area of image classification focused on improving image representation, this work investigated the problem of kernel based information fusion. This led to a development of state-of-the-art recognition systems that won in international competitions in image classification tasks: ImClef Challenge in 2010, Pascal VOC (EC) in 2008, 2010 (runner-up in 2009) as well as TRECVid challenge (NIST, USA) in 2008 (runner-up 2009). It is currently exploited in a project with the BBC R&D in the preparation for opening the BBC video archives to the general public.
Interdisciplinary
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Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
