کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10361329 870182 2005 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Kernel ICA: An alternative formulation and its application to face recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Kernel ICA: An alternative formulation and its application to face recognition
چکیده انگلیسی
This paper formulates independent component analysis (ICA) in the kernel-inducing feature space and develops a two-phase kernel ICA algorithm: whitened kernel principal component analysis (KPCA) plus ICA. KPCA spheres data and makes the data structure become as linearly separable as possible by virtue of an implicit nonlinear mapping determined by kernel. ICA seeks the projection directions in the KPCA whitened space, making the distribution of the projected data as non-gaussian as possible. The experiment using a subset of FERET database indicates that the proposed kernel ICA method significantly outperform ICA, PCA and KPCA in terms of the total recognition rate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 38, Issue 10, October 2005, Pages 1784-1787
نویسندگان
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