6 July 2012
Former ECE student, Dr. Haiping Lu’s, Ph.D. dissertation titled “Multilinear subspace learning for face and gait recognition,” has been chosen to receive the 2013 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award.
According to the IEEE CIS “this award recognizes outstanding Ph.D. dissertations that have contributed to the advancement of the theory and/or applications of computational intelligence.” The award given to Haiping includes $1,000 and a certificate. The award should be conferred at the award banquet of the next CIS sponsored conference in 2013.
A Survey of Multilinear Subspace Learning for Tensor Data
Haiping Lu, K. N. Plataniotis, and A. N. Venetsanopoulos
Abstract: Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract useful information from these massive data. This paper surveys the field of multilinear subspace learning (MSL) for dimensionality reduction of multidimensional data directly from their tensorial representations. It discusses the central issues of MSL, including establishing the foundations of the field via multilinear
projections, formulating a unifying MSL framework for systematic treatment of the problem, examining the algorithmic aspects of typical MSL solutions, and categorizing both unsupervised and supervised MSL algorithms into taxonomies. Lastly, the paper summarizes a wide range of MSL applications and concludes with perspectives on future research directions
For more on Haiping’s work: http://www.dsp.utoronto.ca/~haiping/MSL.html