CAREER: Intelligent Sampling for Learning Complex Query Concepts

这项研究项目将通过培养查询概念学习者来推动智能搜索引擎的发展。将开发检测概念漂移以及多分辨率图像表征的技术。特别是，这项研究将基于两个在线算法，MEGA和SVMActive。它还将在图像搜索中整合文本属性，并将该技术应用于视频数据。职业发展计划将包括资助本科生和研究生项目，以及将研究纳入计算机科学课程。

This research project will advance intelligent search engines by developing query-concept learners. Techniques for detecting concept drifts as well as multi-resolution image characterization will be developed. In particular the research will be based on two online algorithms, MEGA and SVMActive. It will also integrated text attributes in image searching and apply the technology to video data. The career development plan will include sponsoring undergraduate and graduate projects as well as incorporating the research into the Computer Science curriculum.