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Eigenvector Sensitive Feature Selection For Spectral Clustering
Data & Web Mining Lab , Jiangtao Ren
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;kernel principal component analysis;feature selection
Spectral clustering is one of the most popular methods for data clustering, and its performance is determined by the quality of the eigenvectors of the related graph Laplacian. Generally, graph Laplacian is constructed using the full features, which will degrade the quality of the related eigenvecto ...
Leto: 2011 Vir: videolectures.net
Latent Space Domain Transfer between High Dimensional Overlapping Distributions
Sihong Xie , Wei Fan , Jing Peng , Olivier Verscheure , Jiangtao Ren
Video in druga učna gradiva
Oznake: computer science;text mining
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data are non-identical, model trained in one domain, when directly applied to a diffeerent domain, is usually low in accuracy. F ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 2
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