| New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. | |
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MedLine Citation:
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PMID: 18187285 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We propose a new hierarchical design method, weighted support vector (WSV) k-means clustering, to design a binary hierarchical classification structure. This method automatically selects the classes to be separated at each node in the hierarchy, and allows visualization of clusters of high-dimensional support vector data; no prior hierarchical designs address this. At each node in the hierarchy, we use an SVRDM (support vector representation and discrimination machine) classifier, which offers generalization and good rejection of unseen false objects (rejection is not achieved with the standard SVMs). We give the basis and new insight into why a Gaussian kernel provides good rejection. Recognition and rejection test results on a real IR (infrared) database show that our proposed method outperforms the standard one-vs-rest methods and the use of standard SVM classifiers. |
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Authors:
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Yu-Chiang Frank Wang; David Casasent |
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Publication Detail:
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Type: Journal Article Date: 2007-12-08 |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 21 ISSN: 0893-6080 ISO Abbreviation: Neural Netw Publication Date: 2008 Mar-Apr |
Date Detail:
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Created Date: 2008-03-17 Completed Date: 2008-07-10 Revised Date: 2008-08-15 |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 502-10 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. ycwang@cmu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Classification* Databases, Factual Discriminant Analysis Fourier Analysis Image Interpretation, Computer-Assisted Information Storage and Retrieval Least-Squares Analysis Pattern Recognition, Automated / methods* |
| Comments/Corrections | |
Erratum In:
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Neural Netw. 2008 May;21(4):698 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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