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]
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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.
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