Abstract
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.
Original language | English (US) |
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Article number | 5765919 |
Pages (from-to) | 32-42 |
Number of pages | 11 |
Journal | IEEE Multimedia |
Volume | 18 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2011 |
Keywords
- concept retrieval
- dissimilarity measure
- filtering
- multiple correspondence analysis (MCA)
- ranking
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Science Applications
- Signal Processing
- Media Technology