物质 发表于 2025-3-26 23:22:53

Manifold Learning for Gender Classification from Face Sequences978-3-8350-9017-0

LAP 发表于 2025-3-27 02:05:34

Extraction of Illumination-Invariant Features in Face Recognition by Empirical Mode Decomposition978-3-7091-9477-5

Consensus 发表于 2025-3-27 06:11:19

A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions978-3-662-68280-7

步履蹒跚 发表于 2025-3-27 13:18:36

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恫吓 发表于 2025-3-27 13:36:41

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Alpha-Cells 发表于 2025-3-27 18:15:42

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食物 发表于 2025-3-27 22:41:29

Die retrospektive Erfolgskontrolleatching is achieved using a new manifold distance measure. Extensive experiments on a large set of face sequences and different image resolutions showed very promising results, outperforming many traditional approaches.

信徒 发表于 2025-3-28 04:00:01

https://doi.org/10.1007/978-3-322-84300-5discriminant projective directions. The final projection matrix is obtained by multiply the pre-transformation matrix and the projective directions of LDA. Experimental results on FERET and FRGC ver 2.0 face databases show the proposed LSR-LDA method improves the recognition accuracy over the conven

增长 发表于 2025-3-28 06:45:38

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verdict 发表于 2025-3-28 12:38:36

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查看完整版本: Titlebook: Advances in Biometrics; Third International Massimo Tistarelli,Mark S. Nixon Conference proceedings 2009 Springer-Verlag GmbH Germany, par