Journal
IEEE MULTIMEDIA
Volume 18, Issue 3, Pages 32-42Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MMUL.2011.35
Keywords
Correlation; Equations; Mathematical model; Training data; Multimedia communication; Training; Eigenvalues and eigenfunctions; ranking; concept retrieval; multiple correspondence analysis (MCA); filtering; dissimilarity measure
Categories
Funding
- NSF [HRD-0833093]
Ask authors/readers for more resources
The proposed framework, with weighted subspace filtering and ranking components, is the first attempt in multimedia research to apply multiple correspondence analysis to selected features while pruning data instances.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
