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CUPID: consistent unlabeled probability of identical distribution for image classification

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First Author : Zhonglong Zheng

Date of Publication : 2017-01-01

Journal : Knowledge-Based Systems

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Volume : Vol.137

Page Number : 115-122

ISSN : 0950-7051

Key Words : Semi-supervised learning;Geometric structure;Laplacian graph;Label propagation

Abstract : We consider the general problem of learning from both labeled and unlabeled data, which is often called semi-supervised learning (SSL) or transductive inference. A principled approach to SSL is to design a classification function that is sufficiently smoo

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Pre One : 一种基于博弈的LBS隐私保护哑元生成机制

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