Local Image Descriptors Using Supervised Kernel ICA
نویسندگان
چکیده
منابع مشابه
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminative representation for recognition due to its global feature nature and unsupervised algorithm. In addition, linear methods such as PCA and ICA can fail in the case of non-linearity. In this paper, we propose a new discr...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2009
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e92.d.1745