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报告题目：A new S-lemma with two quadratic equalities and its appications报告人：Ruey-Lin Sheu（许瑞麟）教授（台湾成功大学）报告时间：2019年3月13日下午 5：00-6：00报告地点：老主楼213摘要：We present a new version of S-lemma with two quadratic equalities and show that it can be applied to solve many problems. The application include： (i) to check whether or not two quadratic surfaces $f...
报告题目：集群目标跟踪和大规模传感器网络优化管理 报告人：沈晓静 教授（四川大学）报告时间：2019年1月14 日下午 2：00-3：00报告地点：新主楼F422摘要：本报告主要探讨集群目标跟踪和大规模传感器网络优化管理中涉及到的数据融合、数据关联和数据管理三类问题。对于数据融合，我们主要关注有界不确定性动态系统下的集值滤波和估计融合方法，新发展的椭球集值融合方法在性能上优于传统的CI融合方法；同时介...
题目：Atomic Representation-based Classification: Theory, Algorithm and Applications 报告人：李落清（湖北大学） 报告时间：2018年12月28日下午2：30-3：30 报告地点：主楼321 摘要：Representation-based classification (RC) methods such as sparse RC (SRC) have attracted great interest in pattern recognition recently. In this talk, we introduce a new condition called atomic classification con...
报告题目：One-Bit Compressive Sensing with Projected Subgradient Method under Sparsity Constraints 报告人：李松 教授（浙江大学）报告时间：2018年12月21 日下午 2：00-3：00报告地点：老主楼321摘要：One-bit compressive sensing theory shows that sparse signals can be almostexactly reconstructed from a small number of one-bit quantized linear measurements. This talk presents the conver...
题目：Learning theory of large-scale learning报告人：郭正初（浙江大学）报告时间：2018年12月21日下午3：00-4：00报告地点：老主楼321摘要：Analyzing and processing large-scale data sets is becoming ubiquitous in the era of big data. Online learning and distributed learning have attracted increasing interest in recent years due to its low computational complexity and storage requirem...
北航数学论坛报告题目：Spectral Decomposition and -Stability of Flows with Expanding Measures报告人：Keonhee Lee教授（韩国忠南国立大学）报告时间：2018年12月日下午3:00—4:00报告地点：主213报告摘要：In this talk we present a measurable version of the classical spectral decomposition theorem for flows. More precisely, we prove that if a flow on a compact metric space is invariantly measu...
