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Sparse Learning for Big Data
Date:2015/7/23     Browse:824

Speaker: Ivor Tsang

Time: July 23rd, 10:30-11:30 am

Location: Room 220, Building 8, Yueyang Road Campus

Abstract:

The world continues to generate quintillion bytes of data daily, leading to pressing needs for new endeavours to deal with the grad challenges brought about by Big Data. The massive sample size and ultrahigh dimensionality of big data not only incur the storage disaster, but also bring the scalability issues. In this talk, I will first present a novel sparse learning framework to address the issues brought by Big Data and ultrahigh dimensional problems. The proposed learning framework would handle tens of million data easily and is significantly faster than state-of-the-art L1-regularzied methods by several orders of magnitudes. Finally, several applications of the proposed framework, such as face recognition, video analysis and transfer learning will be presented.

Bio:

Ivor W Tsang is a Future Fellow and Associate Professor with the Centre for Quantum Computation & Intelligent Systems (QCIS), at the University of Technology, Sydney.  His research focuses on kernel methods, transfer learning, feature selection, big data analytics for data with trillions of dimensions, and their applications to computer vision and pattern recognition. He has more than 100 research papers published in top-tier journals and conference proceedings. In 2009, Dr Tsang was conferred the 2008 Natural Science Award (Class II) by Ministry of Education, China, which recognized his contributions to kernel methods. In 2013, Dr Tsang received his prestigious Australian Research Council Future Fellowship for his research regarding Machine Learning on Big Data. In addition, he had received the prestigious IEEE Transactions on Neural Networks Outstanding 2004 Paper Award in 2007, the 2014 IEEE Transactions on Multimedia Prize Paper Award, and a number of best paper awards and honors from reputable international conferences, including the Best Student Paper Award at CVPR 2010, and the Best Paper Award at ICTAI 2011. He was also awarded the Microsoft Fellowship 2005.

Dr Tsang is currently serving as an Area Chair at NIPS 2015 and Senior Program Committee at IJCAI 2011-2015.                                                                                                             

SIST-Seminar 15035