DISCRIMINANTANALYSIS

作品数：3被引量：1H指数：1
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相关领域：自动化与计算机技术更多>>
相关作者：张昕然王如刚赵力徐新洲黄程韦更多>>
相关机构：东南大学盐城工学院江南大学更多>>
相关期刊：《Journal of Southeast University(English Edition)》《Frontiers of Computer Science》更多>>
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Speech emotion recognition via discriminant-cascading dimensionality reduction被引量：1
《Journal of Southeast University(English Edition)》2016年第2期151-157,共7页王如刚 徐新洲 黄程韦 吴尘 张昕然 赵力 
The National Natural Science Foundation of China(No.61231002,61273266);the Ph.D.Program Foundation of Ministry of Education of China(No.20110092130004);China Postdoctoral Science Foundation(No.2015M571637)
In order to accurately identify speech emotion information, the discriminant-cascading effect in dimensionality reduction of speech emotion recognition is investigated. Based on the existing locality preserving projec...
关键词：speech emotion recognition discriminant-cascading locality preserving projections DISCRIMINANTANALYSIS dimensionality reduction 
Quality prediction of batch process using the global-local discriminant analysis based Gaussian process regression model
《Journal of Southeast University(English Edition)》2015年第1期80-86,共7页卢春红 顾晓峰 
The Fundamental Research Funds for the Central Universities(No.JUDCF12027,JUSRP51323B);the Scientific Innovation Research of College Graduates in Jiangsu Province(No.CXLX12_0734)
The conventional single model strategy may be ill- suited due to the multiplicity of operation phases and system uncertainty. A novel global-local discriminant analysis （GLDA） based Gaussian process regression （GPR...
关键词：quality prediction global-local discriminantanalysis Gaussian process regression hidden Markov model soft sensor 
Linear discriminant analysis with worst between-class separation and average within-class compactness
《Frontiers of Computer Science》2014年第5期785-792,共8页Leilei YANG Songcan CHEN 
This work was supported in part by the National Natu- ral Science Foundation of China （Grant No. 61170151 ）, the National Natural Science Foundation of Jiangsu Province （BK2011728）, and was sponsored by the QingLan Project and the Fund Research Funds for the Central Uni- versifies （NZ2013306）.
Linear discriminant analysis （LDA） is one of the most popular supervised dimensionality reduction （DR） tech- niques and obtains discriminant projections by maximizing the ratio of average-case between-class scatte...
关键词：dimensionality reduction linear discriminantanalysis the worst separation the average compactness. 
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