Practical large scale classification with additive kernels

For classification problems with millions of training examples or dimensions, accuracy, training and testing speed and memory usage are the main concerns. Recent advances have allowed linear SVM to tackle problems with moderate time and space cost, but for many tasks in computer vision, additive ker...

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Bibliographic Details
Main Authors: Yang, Hao, Wu, Jianxin
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/106282
http://hdl.handle.net/10220/24003
http://jmlr.org/proceedings/papers/v25/yang12/yang12.pdf
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Institution: Nanyang Technological University
Language: English