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Keynote Speech: Big Data – Big Deal[details] |
Professor Nick Cercone |
Department of Computer Science and Engineering |
York University |
CSE 1003 |
4700 Keele St. Toronto, Ontario, Canada, M3J 1P3 |
Homepage: here | Email: ncercone@yorku.ca |
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Invited Speech: Multiple Instance Learning for Visual Categorisation[details] |
Professor Xiangjian He |
School of Computing and Communications |
Faculty of Engineering & Information Technology |
University of Technology Sydney |
PO Box 123, Broadway NSW 2007, Australia |
Homepage: here | Email: Xiangjian.He@uts.edu.au |
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Tutorial: Recursive and iterative clustering in granular hierarchical, network, and temporal datasets[details] |
Professor Pawan Ligras |
Dept. of Math and Computing Science |
Saint Mary's University |
Halifax, Nova Scotia, Canada, B3H 3C3 |
Homepage: here | Email: pawan@cs.smu.ca |
Title: Multiple Instance Learning for Visual Categorisation
Abstract. Nowadays, huge amounts of visual data, e.g., videos and images, have become widely accessible. Therefore, intelligently categorizing the large and growing collections of data for access convenience has been a central goal for modern computer vision research. In this talk, several newly-developed approaches are presented for visual categorization upon multiple instance learning (MIL) cases. We focus on object categorisation. We propose a novel algorithm, multiple-instance learning with a supervised kernel density estimation (MIL-SKDE). Our algorithm extends the twin technologies, kernel density estimation (SKDE) and mean shift, to their supervised versions in which the labels of data points will affect the mode seeking. We apply MIL-SKDE for object categorization, and our algorithm performs superiorly compared with other state-of-the-art methods. Furthermore, to address the complexity issue of MIL-SKDE, we propose MIL-SS (MIL with speed-up SKDE) to speed up the training process.
Short Biography
Professor Xiangjian He, as a Chief Investigator has received various research grants including four national Research Grants awarded by Australian Research Council (ARC).
He is the Director of Computer Vision and Recognition Laboratory, and the Deputy Director of Research Centre for Innovation in IT Services and Applications (iNEXT) at the University of Technology, Sydney (UTS).
He is an IEEE Senior Member. He has been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He has been carrying out research mainly in the areas of image processing, network security, pattern recognition and computer vision in the previous years. He is a leading researcher for image processing based on hexagonal structure. He has played a chairman role in various international conferences including IEEE CIT, IEEE AVSS and ICARCV.
He is a guest editor for various international journals such as Journal of Computer Networks and Computer Applications (Elsevier) ,and in the editorial boards of various international journals. He is a supervisor of postdoctoral research fellows and PhD students.
Since 1985, he has been an academic, a visiting professor, an adjunct professor, a postdoctoral researcher or a senior researcher in various universities/institutions including Xiamen University, China, University of New England, Australia, University of Georgia, USA, Electronic and Telecommunication Research Institute (ETRI) of Korea, University of Aizu, Japan, and Hongkong Polytechnic University.