( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Classification of Driver's Cognitive Responses Using Nonparametric Single-trial EEG Analysis.

, , , , , , и . ISCAS, стр. 2019-2023. IEEE, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Bor-Ching Chen

Kuo-fu Chen

Kuo-Ye Chen

Chen-Cheng Kuo

Julius Bor

 

Другие публикации лиц с тем же именем

An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies., , , , , и . IJCNN, стр. 1-6. IEEE, (2010)Hyperspectral image classification using spectral and spatial information based linear discriminant analysis., , , и . IGARSS, стр. 1716-1719. IEEE, (2011)Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification., , , и . IGARSS, стр. 3442-3445. IEEE, (2014)A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification., , и . IGARSS, стр. 461-464. IEEE, (2015)Applying optimal algorithm to data-dependent kernel for hyperspectral image classification., , , и . IGARSS, стр. 2808-2811. IEEE, (2010)Localized Shrinkage Covariance Estimation of Hyperspectral Image Classification., , , и . IGARSS (4), стр. 538-541. IEEE, (2009)Kernel-Based KNN and Gaussian Classifiers for Hyperspectral Image Classification., , , и . IGARSS (2), стр. 1006-1008. IEEE, (2008)Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification., , и . IGARSS, стр. 574-577. IEEE, (2017)Kernel Nonparametric Weighted Feature Extraction for Classification., и . Australian Conference on Artificial Intelligence, том 3809 из Lecture Notes in Computer Science, стр. 567-576. Springer, (2005)A knowledge-structure-based adaptive dynamic assessment system for calculus learning., и . J. Comput. Assist. Learn., 32 (2): 105-119 (2016)