DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages

With advances in data collection technologies, tensor data is assuming increasing prominence in many applications and the problem of supervised tensor learning has emerged as a topic of critical significance in the data mining and machine learning community. Conventional methods for supervised tenso...

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Bibliographic Details

Published in:	Proceedings of the ... SIAM International Conference on Data Mining Vol. 2014; p. 127
Main Authors:	He, Lifang, Kong, Xiangnan, Yu, Philip S, Ragin, Ann B, Hao, Zhifeng, Yang, Xiaowei
Format:	Journal Article
Language:	English
Published:	United States 2014
ISSN:	2167-0102
Online Access:	Get more information
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