Power mean SVM for large scale visual classification
PmSVM (Power Mean SVM), a classifier that trains significantly faster than state-of-the-art linear and non-linear SVM solvers in large scale visual classification tasks, is presented. PmSVM also achieves higher accuracies. A scalable learning method for large vision problems, e.g., with millions of...
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Main Author: | Wu, Jianxin |
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Other Authors: | School of Computer Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98405 http://hdl.handle.net/10220/12499 |
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Institution: | Nanyang Technological University |
Language: | English |
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