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在“Elsevier电子期刊”中，命中：307条，耗时：0.0390164 秒

在所有数据库中总计命中：2,937条

1.Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification

作者：Lin Wu ^{lin.wu@adelaide.edu.au}Author Vitae ; Chunhua Shen ; ^{chunhua.shen@adelaide.edu.au}Author Vitae ; Anton van den Hengel ^{Anton.vandenhengel@adelaide.edu.au}Author Vitae

关键词：Linear discriminant analysis ; Deep Fisher networks ; Person re-identification

刊名：Pattern Recognition

出版年：2017

2.Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video

作者：Lavanya Sharma^a ; ^{shm.lavanya@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Dileep Kumar Yadav^b ; ^{dileep252000@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Annapurna Singh^a ; ^{ann09fcse@gbpec.ac.in" class="auth_mail" title="E-mail the corresponding author}

关键词：Video surveillance system ; Thermal video ; Background subtraction ; Fisher&rsquo ; s linear discriminant ratio ; Human motion detection ; Contour detection ; Threshold generation

刊名：Infrared Physics & Technology

出版年：2016

3.General sparse multi-class linear discriminant analysis

作者：Sandra E. Safo ; ^{seaddosafo@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jeongyoun Ahn

关键词：Linear discriminant analysis ; Multi-class discrimination ; Singular value decomposition ; Sparse discrimination ; Classification

刊名：Computational Statistics & Data Analysis

出版年：2016

4.Pseudo-inverse linear discriminants for the improvement of overall classification accuracies

作者：Gao Daqi ; ^{gaodaqi@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Dastagir Ahmed ; Guo Lili ; Wang Zejian ; Wang Zhe

关键词：Pseudo-inverse linear discriminants (PILDs) ; Fisher linear discriminants (FLDs) ; Threshold optimization ; Iterative learning ; Overall classification accuracies

刊名：Neural Networks

出版年：2016

5.Recursively global and local discriminant analysis for semi-supervised and unsupervised dimension reduction with image analysis

作者：Shangbing Gao^a ; ^b ; ^{luxiaofen_2002@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jun Zhou^a ; Yunyang Yan^a ; Qiao Lin Ye^cAuthor Vitae

关键词：Semisupervised dimension reduction ; &ldquo ; Concave-convex&rdquo ; programming problem ; Feature extraction ; Fisher linear discriminant analysis ; Manifold regularization

刊名：Neurocomputing

出版年：2016

6.Distance-based linear discriminant analysis for interval-valued data

作者：Ana B. Ramos-Guajardo ; ^a ; ^{ramosana@uniovi.es" class="auth_mail" title="E-mail the corresponding author} ; Przemyslaw Grzegorzewski^b ; ^{pgrzeg@ibspan.waw.pl" class="auth_mail" title="E-mail the corresponding author}

关键词：Classification ; Discriminant analysis ; Interval data ; LDA ; Random intervals

刊名：Information Sciences

出版年：2016

7.Lithology identification using kernel Fisher discriminant analysis with well logs

作者：Shaoqun Dong^a ; ^b ; Zhizhang Wang^a ; ^b ; ^{wang_zhizhang@126.com" class="auth_mail" title="E-mail the corresponding author} ; Lianbo Zeng^a ; ^b ; ^{lbzeng@sina.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Lithology identification ; Kernel Fisher discriminant analysis ; Linear discriminant analysis ; Kernel trick

刊名：Journal of Petroleum Science and Engineering

出版年：2016

8.Kernel Locality Preserving Symmetrical Weighted Fisher Discriminant Analysis based subspace approach for expression recognition

作者：G.P. Hegde^a ; ; M. Seetha^b ; Nagaratna Hegde^c

关键词：Discriminant analysis ; Gabor filter ; Expression recognition ; Feature extraction ; Subspace ; Symmetrical weight

刊名：Engineering Science and Technology,an International Journal

出版年：2016

9.Unbalanced JPEG image steganalysis via multiview data match

作者：Anxin Wu ; Guorui Feng ; ^{fgr2082@aliyun.com" class="auth_mail" title="E-mail the corresponding author} ; Xinpeng Zhang ; Yanli Ren

关键词：Steganalysis ; Unbalanced images ; Dimension reduction ; Multiview match resampling ; Weighted fisher linear discriminant ; K-means ; High-dimensional feature ; Semi-supervised learning

刊名：Journal of Visual Communication and Image Representation

出版年：2016

10.A new face recognition method via semi-discrete decomposition for one sample problem

作者：Li Li^a ; ^{liliiot@163.com" class="auth_mail" title="E-mail the corresponding author} ; Jianqiang Gao^b ; ^{jianqianggaohh@126.com" class="auth_mail" title="E-mail the corresponding author} ; Hongwei Ge^a ; ^{ghw8601@163.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Semi-discrete decomposition ; Singular value decomposition ; One sample problem ; Face recognition ; Fisher linear discriminant analysis

刊名：Optik - International Journal for Light and Electron Optics

出版年：2016

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