CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2006/06/01
-
Indian UGC (journal)
-
Refrences27
-
HWEI-JEN LIN Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan, R.O.C
-
YANG-TA KAO Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan, R.O.C
-
FU-WEN YANG Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan, R.O.C
-
PATRICK S. P. WANG College of Computer Science, Northeastern University, Boston, MA 02115, USA
Abstract
Cite
LIN, HWEI-JEN, et al. “CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION”. International Journal of Pattern Recognition and Artificial Intelligence, vol. 20, no. 04, 2006, pp. 525-41, https://doi.org/10.1142/s021800140600482x.
LIN, H.-J., KAO, Y.-T., YANG, F.-W., & WANG, P. S. P. (2006). CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION. International Journal of Pattern Recognition and Artificial Intelligence, 20(04), 525-541. https://doi.org/10.1142/s021800140600482x
LIN HJ, KAO YT, YANG FW, WANG PSP. CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION. International Journal of Pattern Recognition and Artificial Intelligence. 2006;20(04):525-41.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
You May Also Like
- Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
- A survey of graph edit distance
- Bagging, Boosting and the Random Subspace Method for Linear Classifiers
- A review on genetic algorithm: past, present, and future
- Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1109/MSP.2006.1598086 | ||||
| 10.1109/MSP.2006.1598086 | ||||
| 10.1109/MSP.2006.1598086 | ||||
| 10.1109/MSP.2006.1598086 | ||||
| 10.1109/MSP.2006.1598086 | IEEE MultiMedia |
|