相关反馈的基于图像内容的回收与分层高斯过程土匪][Relevance Feedback Content-Based Image Rertieval with Hierarchical Gaussian Process Bandits]

相关反馈的基于图像内容的回收与分层高斯过程土匪 Relevance Feedback Content-Based Image Rertieval with Hierarchical Gaussian Process Bandits


课程网址:	http://videolectures.net/machine_konyushkova_image_retrieval/
主讲教师:	Ksenia Konyushkova
开课单位:	赫尔辛基大学
开课时间:	2013-08-06
课程语种:	英语
中文简介:	提出了一种基于相关性反馈的内容图像检索系统。该系统依靠一个互动的搜索范式, 在每一轮中, 用户都会看到 k 图像, 并选择最接近她的目标的图像。采用基于分层高斯过程土匪的方法, 在每轮图像的呈现中进行了勘探和开发。实验结果表明, 该方法与以往的工作相比是有利的。
课程简介:	A content-based image retrieval system based on relevance feedback is proposed. The system relies on an interactive search paradigm where at each round a user is presented with k images and selects the one closest to her target. The approach based on hierarchical Gaussian Process bandits is used to trade exploration and exploitation in presenting the images in each round. Experimental results show that the new approach compares favorably with previous work.
关键词:	计算机科学; 机器学习; 自组织映射
课程来源:	视频讲座网
最后编审:	2020-06-14：liush
阅读次数:	34

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