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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; Third International Mário Figueiredo,Josiane Zerubia,Anil K. Jain

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樓主: DUCT
31#
發(fā)表于 2025-3-26 22:51:16 | 只看該作者
32#
發(fā)表于 2025-3-27 03:35:57 | 只看該作者
Michael Pfitzner,Esther Pürgstallerell as recognition accuracy. The derived correlation invariants is proposed as a general formalism that can be used directly with other kinds of complex moments, e.g. Fourier Mellin, pseudo Zernike, disc-harmonic coefficients, and wavelet moments, to obtain moment correlation based invariants.
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發(fā)表于 2025-3-27 07:55:22 | 只看該作者
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發(fā)表于 2025-3-27 10:30:25 | 只看該作者
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發(fā)表于 2025-3-27 20:22:36 | 只看該作者
Supervised Texture Segmentation by Maximising Conditional Likelihoodhbourhood. Experiments showthat such approach is more efficient for regular textures described by different characteristic long-range interactions than for stochastic textures with overlapping close-range neighbourhoods.
37#
發(fā)表于 2025-3-28 01:17:34 | 只看該作者
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發(fā)表于 2025-3-28 04:04:13 | 只看該作者
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發(fā)表于 2025-3-28 09:26:29 | 只看該作者
A Maximum Likelihood Framework for Grouping and Segmentation hand, then the updated link-weights are the expected values of their pairwise products. The new method is demonstrated on region segmentation and line-segment grouping problems where it is shown to outperform a non-iterative eigenclustering method.
40#
發(fā)表于 2025-3-28 13:51:02 | 只看該作者
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