一种偏好于查询子流形的半监督图像检索算法

在基于反馈的图像检索中,由于被用户标记为相关和不相关的图像数较少,使得检索问题变成了一个典型的小样本问题.流形可表达数据在低维空间中的内在几何结构,流形正则化的目的是利用这种几何结构来约束解空间,以使最优解能反映数据本身的几何分布.为了解决反馈检索中的小样本问题,本文在流形正则化框架下提出一个新的半监督图像检索算法.在新算法中,流形正则化项只依赖于文中定义的查询子流形,而不依赖于数据集的全局结构.在两个图像集上的实验结果对比表明,本文提出的新算法在检索效果上优于现有的4种state-of-the-art算法.

Query Sub-manifold Biased Semi-supervised Algorithm for Image Retrieval

Under the circumstance of the relevance-feedback-based image retrieval,the quantity of relevant and irrelevant images labeled by user is very few leading to a canonical small-size sample problem.The intrinsic structure of such image data usually appears in the manifold form in lower-dimension space,thus the goal of the manifold-regularization is to utilize the structure to make the optimal solution able to reflect the distribution geometry of the data.With the aim to solving such small-size sample problem,a...