南京航空航天大学陈松灿教授学术讲座通知

来源:发稿时间:2010-08-18 浏览次数:2104

  题目:同时实现分类和聚类的学习框架
  Abstract:Traditional pattern recognition generally involves two tasks: unsupervised clustering and supervised classification. When class information is available, fusing the advantages of both clustering learning and classification learning into a single framework is an important problem worthy of study. In this talk, simultaneous learning frameworks for clustering and classification respectively with respect to single-objective (SCC) and multi-objective (MSCC) formulations are presented. Both aim to achieve three goals: (1) acquiring the robust classification and clustering simultaneously; (2) developing an effective and transparent classification mechanism; (3) exploring and revealing the underlying relationship between clusters and classes. Experimental results show that both SCC and MSCC achieve promising classification and clustering results at one time.

  主讲人:   陈松灿   教授   博士生导师
  时间:2010年8月20日上午11:30
  地点:科技楼101
  主办单位:竞彩篮球APP国内交流合作办公室
  承办单位:竞彩篮球APP信息科学与技术学院


名师简介
  陈松灿,南京航空航天大学教授、博士生导师,现任全国计算机学会高级会员、中国人工智能学会机器学习专委会副主任委员、中国人工智能与模式识别专委会委员;任PAKDD和 SDM等多个国际会议程序委员会委员,任IEEE TSMC-Part B & A、 IEEE TFS、 IEEE TPAMI、中国科学,电子学报、软件学报、计算机学报等国内十多家学术期刊的经常性审稿人,任国际期刊《Advances in Artificial Neural Systems 》和《Frontiers in Computer Science in China》的Associate Editor,任国家和省自然科学基金项目评审人。
  在IEEE Transactions、Pattern recognition、Image Vision and Computing等国际期刊上发表SCI期刊论文70多篇,独立主持国家自然科学基金项目7项,省、部级基金项目9项。

 

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