图像检索中基于最大信息获取量的主动学习算法(英文)

来源 :Journal of Southeast University(English Edition) | 被引量 : 1次 | 上传用户：zhangyan18277

【摘要】

：

本文提出一种基于内容的图像中的主动学习算法.首先用支撑向量机学习得到初始查询概念,然后用相似性测度对其进行检验,选取信息量最大的样本来请求用户标记,最后在相关反馈的迭代优化过程中获取用户的图像查询概念.算法通过支撑向量机二值分类器与相似性测度2种不同学习模型的融合,来减轻它们各自所存在的模型偏置.实验结果显示,所提算法能够显著提高图像检索的精确度,在少量的反馈迭代之后即能准确地获取目标概念.

【作者】

：

徐杰施鹏飞

【出处】

：

Journal of Southeast University(English Edition)

【发表日期】

：

2004年04期

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