问题描述
大家好，
我想完成以下任务，请帮助我实现这一目标.
主动学习方法已被认为对统计学习社区越来越感兴趣.最初是在分类框架内开发的，现在提出了许多扩展来处理多媒体应用程序.本文提供了一种统计框架内的算法，可以扩展主动学习，以实现基于在线内容的图像检索(CBIR).通过实验展示了分类框架，以在这种信息检索环境中比较几种强大的分类技术.然后将重点放在交互式方法上，介绍主动学习策略.在介绍我们的新的主动选择流程RETIN之前，强调了此方法对CBIR的局限性.首先，由于任何主动方法都对类之间的边界估计敏感，因此RETIN策略会进行边界校正，以使检索过程更加健壮.其次，修改了用于优化主动学习选择的泛化误差准则，以更好地表示数据库排名的CBIR目标.第三，提出了图像的批处理.我们的策略导致一种快速有效的主动学习方案，以检索在线图像集(查询概念).在大型数据库上进行的实验表明，与其他几种主动策略相比，RETIN方法的效果很好.
项目范围:
目的是建立快速有效的策略来检索查询
基于内容的图像检索的概念
使用的技术:.NET
感谢您的问候
biju
[edit]不要大喊大叫.使用所有大写字母被认为是在互联网上大喊大叫，并且粗鲁(使用所有小写字母被认为是幼稚的).如果要认真对待，请使用大写字母. -OriginalGriff [/edit]
Hi all,
I want to accomplish the following task, Please help me to achieve this.
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful classification techniques in this information retrieval context. Focusing on interactive methods, active learning strategy is then described. The limitations of this approach for CBIR are emphasized before presenting our new active selection process RETIN. First, as any active method is sensitive to the boundary estimation between classes, the RETIN strategy carries out a boundary correction to make the retrieval process more robust. Second, the criterion of generalization error to optimize the active learning selection is modified to better represent the CBIR objective of database ranking. Third, a batch processing of images is proposed. Our strategy leads to a fast and efficient active learning scheme to retrieve sets of online images (query concept). Experiments on large databases show that the RETIN method performs well in comparison to several other active strategies.
Scope of the project:
The aim is to build a fast and efficient strategy to retrieve the query
Concept in content-based image retrieval
Technology to use: .NET
Thanks n regards
biju
[edit]DON''T SHOUT. Using all capitals is considered shouting on the internet, and rude (using all lower case is considered childish). Use proper capitalisation if you want to be taken seriously. - OriginalGriff[/edit]
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