Jul 23, 2016 · Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. Erratum; Published: 23 July 2016. Volume ...
By Chao Chen, Mei-Ling Shyu and Shu-Ching Chen; Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models.
In this paper, a novel weighted subspace modeling framework is proposed that is based on the Gaussian Mixture Model (GMM) and is able to effectively retrieve ...
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Weighted Subspace Modeling for Semantic Concept Retrieval using Gaussian Mixture Models. 3 image/video dataset means an image or a video shot containing a ...
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Jun 24, 2016 · In this paper, a novel weighted subspace modeling framework is proposed that is based on the Gaussian Mixture Model (GMM) and is able to ...
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23.07.2016 | Erratum. Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. verfasst von: Chao Chen, Mei-Ling ...
Chao Chen, Mei-Ling Shyu, Shu-Ching Chen: Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. Inf. Syst.
Chao Chen's 3 research works with 10 citations, including: Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models.
Aug 13, 2015 · In this paper, we propose a novel subspace modeling framework that is able to effectively retrieve semantic concepts from highly imbalanced ...
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Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models. Chao Chen, Mei-Ling Shyu, Shu-Ching Chen. April ...