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Te-Won Lee

Showing results (1-10 of 26) with videos related to

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IEEE Transactions on Neural Networks|October 6, 2004
A negentropy minimization approach to adaptive equalization for digital communication systemsSooyong Choi, Te-Won Lee
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 5, 2008
Unsupervised image classification, segmentation, and enhancement using ICA mixture modelsTe-Won Lee, Michael S Lewicki
Vision Research|August 10, 2002
Color opponency is an efficient representation of spectral properties in natural scenesTe-Won Lee, Thomas Wachtler, Terrence J Sejnowski
Journal of Machine Learning Research : JMLR|April 12, 2011
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent ComponentsKwokleung Chan, Te-Won Lee, Terrence J Sejnowski
IEEE Transactions on Audio, Speech, and Language Processing|March 2, 2011
Speech Enhancement Using Gaussian Scale Mixture ModelsJiucang Hao, Te-Won Lee, Terrence J Sejnowski
Neural Computation|January 27, 2010
Independent vector analysis for source separation using a mixture of gaussians priorJiucang Hao, Intae Lee, Te-Won Lee, et al.
Journal of Vision|August 10, 2007
Cone selectivity derived from the responses of the retinal cone mosaic to natural scenesThomas Wachtler, Eizaburo Doi, Te- Won Lee, et al.
Neural Computation|February 20, 2003
Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenesEizaburo Doi, Toshio Inui, Te-Won Lee, et al.
Neuroimage|January 1, 2008
Independent vector analysis (IVA): multivariate approach for fMRI group studyJong-Hwan Lee, Te-Won Lee, Ferenc A Jolesz, et al.
International Journal of Imaging Systems and Technology|June 16, 2009
Independent Vector Analysis (IVA) for Group fMRI Processing of Subcortical AreaJong-Hwan Lee, Te-Won Lee, Ferenc A Jolesz, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks|October 6, 2004
A negentropy minimization approach to adaptive equalization for digital communication systemsSooyong Choi, Te-Won Lee
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 5, 2008
Unsupervised image classification, segmentation, and enhancement using ICA mixture modelsTe-Won Lee, Michael S Lewicki
Vision Research|August 10, 2002
Color opponency is an efficient representation of spectral properties in natural scenesTe-Won Lee, Thomas Wachtler, Terrence J Sejnowski
Journal of Machine Learning Research : JMLR|April 12, 2011
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent ComponentsKwokleung Chan, Te-Won Lee, Terrence J Sejnowski
IEEE Transactions on Audio, Speech, and Language Processing|March 2, 2011
Speech Enhancement Using Gaussian Scale Mixture ModelsJiucang Hao, Te-Won Lee, Terrence J Sejnowski
Neural Computation|January 27, 2010
Independent vector analysis for source separation using a mixture of gaussians priorJiucang Hao, Intae Lee, Te-Won Lee, et al.
Journal of Vision|August 10, 2007
Cone selectivity derived from the responses of the retinal cone mosaic to natural scenesThomas Wachtler, Eizaburo Doi, Te- Won Lee, et al.
Neural Computation|February 20, 2003
Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenesEizaburo Doi, Toshio Inui, Te-Won Lee, et al.
Neuroimage|January 1, 2008
Independent vector analysis (IVA): multivariate approach for fMRI group studyJong-Hwan Lee, Te-Won Lee, Ferenc A Jolesz, et al.
International Journal of Imaging Systems and Technology|June 16, 2009
Independent Vector Analysis (IVA) for Group fMRI Processing of Subcortical AreaJong-Hwan Lee, Te-Won Lee, Ferenc A Jolesz, et al.
Pageof 3