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- W2004503727 abstract "In this paper, a novel statistical model for image recognition based on separable lattice 2-D HMMs (SL2D-HMMs) is proposed. Although SL2D-HMMs can model invariance to size and location deformation, its modeling accuracy is still insufficient because of the following two assumptions: i) the statistics of each state are constant and ii) the state output probabilities are conditionally independent. In this paper, SL2D-HMMs are reformulated as a trajectory model that can capture dependencies between adjacent observations. The effectiveness of the proposed model was demonstrated in face recognition and image alignment experiments." @default.
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- W2004503727 date "2014-01-01" @default.
- W2004503727 modified "2023-10-04" @default.
- W2004503727 title "Image Recognition Based on Separable Lattice Trajectory 2-D HMMs" @default.
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- W2004503727 doi "https://doi.org/10.1587/transinf.e97.d.1842" @default.
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