nautical
发表于 2025-3-28 16:57:44
Biometric Recognition978-3-319-25417-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
不爱防注射
发表于 2025-3-28 21:19:08
Theoretical Framework of the Study,n kernel to the LSSVM algorithm, proposing a robust face detection algorithm. Extensive experiments on the widely used CMU+MIT dataset and FDDB dataset demonstrate the robustness and validity of our algorithm.
图表证明
发表于 2025-3-29 00:47:24
Robust Face Detection Based on Enhanced Local Sensitive Support Vector Machinen kernel to the LSSVM algorithm, proposing a robust face detection algorithm. Extensive experiments on the widely used CMU+MIT dataset and FDDB dataset demonstrate the robustness and validity of our algorithm.
ineluctable
发表于 2025-3-29 06:23:54
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sparse
发表于 2025-3-29 09:22:42
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Amendment
发表于 2025-3-29 11:47:11
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Bernstein-test
发表于 2025-3-29 16:14:12
Jukka Mettovaara,Jussi Ylikoski is much higher than that of the photo sample matrix under an ideal situation. If we denoise the real world samples and convert them into pure samples, we can find a well boundary, that is, a basis for liveness detection. Experiments are conducted on the NUAA imposter database to verify the efficiency of the proposed method.
–吃
发表于 2025-3-29 21:31:27
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expound
发表于 2025-3-30 03:45:46
Theoretical Framework of the Study,onditions. To alleviate computation complexity of Gabor transformation, we exploit energy check Gabor filters to speed up calculation. Specially, the verification rate of our approach on NEU-ID database achieves 97.71 %. It has a comparable performance with lower computation complexity.
Commonplace
发表于 2025-3-30 05:08:37
Theoretical Framework of the Study, of FV, introduce Gaussian block to sparsify FV, alter its formulation, and normalize properly. We evaluate our method on LFW and FERET dataset, and result shows our method effectively compresses Fisher vector and achieves satisfying result at the same time.