【15-38期VALSE Webinar活动】  报告嘉宾1：彭玺（A*STAR）
主持人：王琦（西北工业大学）
报告时间：2015年12月23日周三晚20:00（北京时间）
报告题目：Lp-norm based representation learning: some theories, algorithms, and applications [Slides]
文章信息：
[1] Xi Peng, Zhang Yi, and Huajin Tang, Robust Subspace Clustering via Thresholding Ridge Regression, The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, January 25–29, 2015;
[2] Xi Peng, Zhiding Yu, Huajin Tang, and Zhang Yi, Constructing L2-Graph for Subspace Learning and Segmentation, arXiv1209.0841;
[3] Xi Peng, Canyi Lu, Zhang Yi, and Huajin Tang, Connections Between Nuclear Norm and Frobenius Norm Based Representation, arXiv1502.07423;
[4] Xi Peng, Jiwen Lu, Yan Rui, and Zhang Yi, Automatic Subspace Learning via Principal Coefficients Embedding, arXiv1411.4419;
报告摘要：In this talk, I will introduce some works on Lp-norm based representation learning. The talk consists of three parts. First, I will introduce a Frobenius-norm based representation learning method and its applications in subspace clustering and subspace learning. Second, I will introduce a theoretical study on the connections between Frobenius norm based representation and nuclear-norm based representation. Finally, I will introduce an automatic subspace learning method that can automatically estimate the feature dimension and achieve robust results from corrupted data.
报告人简介：彭玺，目前是新加坡（Institute for Infocomm., Research Agency for Science, Technology and Research (A*STAR)）信息通信研究所研究员(Research Scientist)。他于2013年在四川大学计算机学院章毅教授指导下获得博士学位。主要研究兴趣是无监督的表达学习（unsupervised representation learning）及其在计算机视觉和机器学习中的理论、算法及应用，目前在CVPR，AAAI，IJCAI，TNNLS，TCYB等国际会议及期刊上发表论文多篇，是多个国际会议及期刊例如AAAI，TNNLS，TKDE的审稿人。
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