CAREER: A New Approach to Clustering Based on Synchronization of Coupled Oscillators with Application to Content Based Image Retrieval

职业：基于耦合振荡器同步的聚类新方法及其在基于内容的图像检索中的应用

• 批准号: 0133415
• 负责人: Hichem Frigui
• 金额: $ 30万
• 依托单位: University of Memphis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-03-15 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133415&HistoricalAwards=false
• 关键词: CAREER; New; Approach; Clustering; Based

. This research project will first develop a new scalable algorithm for clustering that can detect an unknown number of arbitrarily shaped clusters. This approach will be based on a synchronization model of plus-coupled oscillators. Next the project will build a CBIR (Content-Based Image Retrieval) prototype using the clustering algorithm developed in this research. The career development plan will include training students in CBIR as well as initiating a research seminar series. The proposed research will also support undergraduate design projects.

。该研究项目将首先开发出一种用于聚类的新可扩展算法，该算法可以检测到未知数量的任意形状簇。这种方法将基于加上耦合振荡器的同步模型。接下来，该项目将使用本研究中开发的聚类算法构建CBIR（基于内容的图像检索）原型。职业发展计划将包括培训CBIR的学生以及启动研究研讨会系列。拟议的研究还将支持本科设计项目。