کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407332 678137 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Label propagation through sparse neighborhood and its applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Label propagation through sparse neighborhood and its applications
چکیده انگلیسی

In this paper, a novel semi-supervised learning approach is proposed. It assumes that, for the i  th sample xixi, the samples from xixi's sparse neighborhood have the same label with xixi and the label of xixi can be linearly reconstructed by the labels of those samples from xixi's sparse neighborhood. Our algorithm firstly selects the sparse neighborhood for each sample, and then in that sparse neighborhood finds the sparse coefficients to represent the local geometry structure, finally seeks a label propagation way. Different from many existing methods, we construct the adapting graph, simultaneously, give the weight of each edge. What's more, we highlight the role of those samples in that sparse neighborhood, meanwhile, eliminate the role of those samples out of that sparse neighborhood. The experimental results on face recognition and document classification demonstrate the effectiveness and efficiency of our proposed approach in this paper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 97, 15 November 2012, Pages 267–277
نویسندگان
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