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

	Invited Speech: Multiple Instance Learning for Visual Categorisation[details]  Tutorial: Principle of Image Categorization[details coming soon!]
	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

	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

Invited Speaker

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.