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...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings of the ... SIAM International Conference on Data Mining Ročník 2014; s. 127
Hlavní autori:	He, Lifang, Kong, Xiangnan, Yu, Philip S, Ragin, Ann B, Hao, Zhifeng, Yang, Xiaowei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 2014
ISSN:	2167-0102
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!