欢乐中国 发表于 2025-3-30 09:30:05
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Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognitionion and use a two-parameter regularization scheme for the within-class scatter matrix. The novelty of the proposed method comes from: (1) Wavelet transform with linear computation complexity is used to carry out the preliminary dimensionality reduction instead of employing a principal component analeustachian-tube 发表于 2025-3-30 20:01:07
Face Tracking and Recognition from Stereo Sequencetereo and intensity pairs, pose can be detected and tracked. Face images, which are suitable for recognition, from stereo sequence can be selected automatically based on the pose. Then the straightforward Fisherface is carried out on the selected face images. Results of the tracking and recognition碎片 发表于 2025-3-30 21:14:17
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Form und Vielfalt der Galaxien,e score is removed and mean and standard deviation estimations are recalculated. When there are only a few utterances to estimate mean and variance, this method leads to a great improvement. Text dependent and text independent experiments have been carried out by using a telephonic multisession dataVulnerary 发表于 2025-3-31 05:20:19
https://doi.org/10.1007/978-3-663-01904-6me speech class, we could expect that the DTW distortion measure can capture the speaker specific characteristics. The novelty of the proposed method is the combination of the DTW distortion measure with data-driven segmentation tools. The first experimental results of the proposed method, in terms令人苦恼 发表于 2025-3-31 12:52:04
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Automatic Estimation of a Priori Speaker Dependent Thresholds in Speaker Verificatione score is removed and mean and standard deviation estimations are recalculated. When there are only a few utterances to estimate mean and variance, this method leads to a great improvement. Text dependent and text independent experiments have been carried out by using a telephonic multisession dataCallus 发表于 2025-3-31 19:56:37
Searching through a Speech Memory for Text-Independent Speaker Verificationme speech class, we could expect that the DTW distortion measure can capture the speaker specific characteristics. The novelty of the proposed method is the combination of the DTW distortion measure with data-driven segmentation tools. The first experimental results of the proposed method, in terms噱头 发表于 2025-3-31 22:16:45
Audio-and Video-Based Biometric Person Authentication978-3-540-44887-7Series ISSN 0302-9743 Series E-ISSN 1611-3349