Multiple kernel and multi-label learning for image categorization
"One crucial step towards the goal of converting large image collections to useful information sources is image categorization. The goal of image categorization is to find the relevant labels for a given an image from a closed set of labels. Despite the huge interest and significant contributions by the research community, there remains much room for improvement in the image categorization task. In this dissertation, we develop efficient multiple kernel learning and multi-label learning algorithms with high prediction performance for image categorization... " -- Abstract.
Read
- In Collections
-
Electronic Theses & Dissertations
- Copyright Status
- In Copyright
- Material Type
-
Theses
- Authors
-
Bucak, Serhat Selçuk
- Thesis Advisors
-
Jain, Anil K.
- Committee Members
-
Jin, Rong
Aviyente, Selin
Tan, Pang-Ning
- Date Published
-
2014
- Subjects
-
Kernal
Computer algorithms
Computer science
- Program of Study
-
Computer Science - Doctor of Philosophy
- Degree Level
-
Doctoral
- Language
-
English
- Pages
- xvii, 209 pages
- ISBN
-
9781303879937
130387993X
- Permalink
- https://doi.org/doi:10.25335/7xn9-ex94