Dimensionality Reduction by Locally Linear Discriminant Analysis for Handwritten Chinese Character Recognition
نویسندگان
چکیده
منابع مشابه
Linear Discriminant Dimensionality Reduction
Fisher criterion has achieved great success in dimensionality reduction. Two representative methods based on Fisher criterion are Fisher Score and Linear Discriminant Analysis (LDA). The former is developed for feature selection while the latter is designed for subspace learning. In the past decade, these two approaches are often studied independently. In this paper, based on the observation th...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2012
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e95.d.2533