locus-ceruleus
发表于 2025-3-28 15:49:32
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GUMP
发表于 2025-3-28 19:03:39
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疼死我了
发表于 2025-3-29 02:43:21
Expression-Invariant 3D Face Recognition a representation of the facial surface, invariant to isometric deformations, such as those resulting from different expressions and postures of the face. The obtained geometric invariants allow mapping 2D facial texture images into special images that incorporate the 3D geometry of the face. These
地名词典
发表于 2025-3-29 03:15:24
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Constrain
发表于 2025-3-29 07:20:03
A Bayesian Network Approach for Combining Pitch and Reliable Spectral Envelope Features for Robust S data theory and Bayesian networks. This approach integrates high-level information concerning the reliability of pitch and spectral envelope features in missing feature compensation process in order to increase the performance of Gaussian mixture models (GMM) of speakers. In this paper, a Bayesian
FIR
发表于 2025-3-29 14:48:44
Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification available during the training phase. The technique combines a cluster selector with cluster-dependent feature transformations to reduce the acoustic mismatches among different handsets. Specifically, a GMM-based cluster selector is trained to identify the cluster that best represents the handset us
DAFT
发表于 2025-3-29 18:48:05
Searching through a Speech Memory for Text-Independent Speaker Verificationc feature vectors. Previous studies have shown that phonemes have different discriminant power for the speaker verification task. In order to better exploit these differences, it seems reasonable to segment the speech in distinct speech classes and carry out the speaker modeling for each class separ
痛打
发表于 2025-3-29 22:21:09
LUT-Based Adaboost for Gender Classification better in correct rate but are more computation intensive while Adaboost ones are much faster with slightly worse performance. For possible real-time applications the Adaboost method seems a better choice. However, the existing Adaboost algorithms take simple threshold weak classifiers, which are t
表示向前
发表于 2025-3-30 01:59:22
Independent Component Analysis and Support Vector Machine for Face Feature Extractionlization context. The goal is to find a better space where project the data in order to build ten different face-feature classi fiers that are robust to illumination variations and bad environment conditions. The method was tested on the BANCA database, in different scenarios: controlled conditions,
条约
发表于 2025-3-30 07:28:10
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