Weighted subspace modeling for semantic concept retrieval using gaussian mixture models
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DOI: 10.1007/s10796-016-9660-z
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References listed on IDEAS
- Lin Lin & Mei-Ling Shyu, 2010. "Weighted Association Rule Mining for Video Semantic Detection," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 1(1), pages 37-54, January.
- Chao Chen & Tao Meng & Lin Lin, 2013. "A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 4(2), pages 13-45, April.
- Hsin-Yu Ha & Fausto C. Fleites & Shu-Ching Chen, 2013. "Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 4(2), pages 46-64, April.
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Cited by:
- Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 2021. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 23(1), pages 243-262, February.
- Eric Golinko & Xingquan Zhu, 2019. "Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks," Information Systems Frontiers, Springer, vol. 21(1), pages 125-142, February.
- Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 0. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
- Thouraya Bouabana-Tebibel & Stuart H. Rubin, 2016. "Towards common reusable semantics," Information Systems Frontiers, Springer, vol. 18(5), pages 819-823, October.
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Keywords
Weighted subspace modeling; Gaussian mixture model; Semantic concept retrieval;All these keywords.
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