Pairwise ranking component analysis

Uncovering the latent structure of the data is an active research topic in data mining. However, in the distance metric learning framework, previous studies have mainly focused on the classification performance. In this work, we consider the distance metric learning problem in the ranking setting, w...

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Veröffentlicht in:	Knowledge and information systems 2013-08, Vol.36 (2), p.459-487
Hauptverfasser:	Pessiot, Jean-François, Kim, Hyeryung, Fujibuchi, Wataru
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Applied sciences Artificial intelligence Classification Computer Science Computer science control theory systems Cost function Cryptography Data mining Data Mining and Knowledge Discovery Data processing. List processing. Character string processing Database Management Datasets Discriminant analysis Distance learning Eigenvalues Exact sciences and technology Information retrieval Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) Information systems. Data bases Information, signal and communications theory IT in Business Learning Mathematical analysis Mathematical models Memory organisation. Data processing Neighborhoods Pattern recognition. Digital image processing. Computational geometry Principal components analysis Ranking Ratings & rankings Regular Paper Signal and communications theory Software Studies Telecommunications and information theory Visualization
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