MULTIRESOLUTION LINEAR DISCRIMINANT ANALYSIS: EFFICIENT EXTRACTION. OF GEOMETRICAL STRUCTURES IN IMAGES. Sinisa Todorovic and Michael C. Nechyba. Dept. of ...
This paper proposes a novel image analysis method-namely, multiresolution linear discriminant analysis (MLDA), and explains these components and ...
The MLDA framework comprises the following components: the MLDA atom, dictionary, tree, graph, and MLDA-based algorithms. In this paper, we explain these ...
... and M. C. Nechyba, "Multiresolution linear discriminant analysis: efficient extraction of geometrical structures in images", Proc. IEEE International Conference ...
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting features in face recognition. LDA captures the global geometric ...
Apr 20, 2004 · S. Todorovic and M. C. Nechyba, "Multiresolution linear discriminant analysis: efficient extraction of geometrical structures in images", Proc.
Todorovic and M. C. Nechyba, “Multiresolution linear dis- criminant analysis: efficient extraction of geometrical struc- tures in images,” in Proc. IEEE Int ...
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting features in face recognition. LDA captures the global geometric ...
In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for an image feature extraction and pattern recognition based on graph embedded ...
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Linear discriminant analysis (LDA) is one of the most popular techniques for extracting features in face recognition. LDA captures the global geometric ...