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Onemethodofabstractingcharacters
DL : 0
介绍了一种非常实用的特征提取新方法,针对稀疏核主成分分析方法在特征提取中的不足, 提出了一种基于核K- 均值聚类的稀疏核主成分分析( Sparse KPCA) 的特征提取方法用于说话人识别。-Introduced a very useful new method of feature extraction for Sparse Kernel Principal Component Analysis in Feature Extraction of the lack of a kernel-based K-means clustering of sparse kernel principal component analysis (Sparse KPCA) of the feature extraction methods for speaker recognition.
Date
: 2025-12-14
Size
: 120kb
User
:
毋桂萍
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KNMCluster
DL : 0
k means algorithm in matlab for web image reranking using query specific semantic signatures
Date
: 2025-12-14
Size
: 2kb
User
:
anand
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Km
DL : 0
k means for clustering image
Date
: 2025-12-14
Size
: 3kb
User
:
Gombe
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