The 9th International Workshop on Pattern Recognition in Information Systems (PRIS 2009)
6-7 May, 2009 - Milan, Italy
In conjunction with the 11th International Conference on Enterprise Information Systems (ICEIS 2009)
IST - Technical University of Lisbon
Aim of the Workshop
Huge amounts of information in digital format are currently available; for example, the world-wide-web is an immense source of text, audio, images and video. Organizing and understanding this multimodal information is a difficult problem, which requires advanced techniques from pattern recognition and related fields such as machine learning, computer vision and human language technology. An increasingly important aspect of this problem is human-computer interaction, especially multi-modal interactive systems in which humans and machines seamlessly cooperate to efficiently solve a given task. On the other hand, accessibility issues also arise in this problem, with personal identification techniques playing a key role in human-computer interfaces for security and restricted-access systems. The aim of this workshop is to bring together researchers, practitioners and potential users with interests in the multidisciplinary topics listed below.
Topics of Interest
Paper submissions should be related to the following areas: pattern recognition, machine learning, computer vision and human language technology. Topics of interest include, but are not limited to:
• Text, audio, image and video processing
• Unsupervised learning and clustering
• Classification and browsing of multimodal data
• Indexing, structuring and summarization
• Human-computer interaction modelling
• Discourse and dialogue
• Machine translation
• Multimodal fusion
• Biometrics and personal authentication systems
Regular Paper Submission: deadline expired
Authors Notification: deadline expired
Final Paper Submission and Registration: deadline expired
- Jianchang Mao, Yahoo! Labs, U.S.A.
Title: Machine Learning in Online Advertising
Jianchang (JC) Mao received his Ph.D. degree in Computer Science from Michigan State University in 1994. Dr. Mao is currently a Senior Director in Yahoo! Labs and head of Display Advertising Sciences, responsible for the R&D of Contextual Advertising, Display Advertising, Targeting, and Analytics technologies and products. He was also a Science/Engineering director responsible for development of Sponsored Search Matching technologies and backend technologies for several Yahoo! Social Search products, including Y! Anwsers and Y! MyWeb(Social Bookmarks). Prior to joining Yahoo!, Dr. Mao was Director of Emerging Technologies & Principal Architect at Verity Inc., a leader in Enterprise Search (acquired by Autonomy), from 2000 to 2004. Prior to this, Dr. Mao was a research staff member at the IBM Almaden Research Center from 1994 to 2000. Dr. Mao's research interest includes Machine Learning, Data Mining, Information Retrieval, Online Advertising, Social Networks, Pattern Recognition and Image Processing. Dr. Mao has received a number of awards in industry as well as academia, including Yahoo! Superstar Team Award in 2008 (as a team captain); Verity Key Contributor Award in 2003; Honorable Mention Award, ACM KDD Cup 2002; IBM Outstanding Technical Achievement Award in 1997 and Research Division awards in 1998 & 2000; IEEE Transactions on Neural Networks Outstanding Paper Award in 1996; Honorable Mention Award from the International Pattern Recognition Society in 1993. Dr. Mao served as an associate editor of the IEEE Transactions on Neural Networks, 1999-2000. Dr. Mao has published over 45 papers, and holds 11 issued US patents and 18 pending patent applications
- Marcello Pelillo, Universitą Ca' Foscari di Venezia, Italy
Title: From Cliques to Equilibria: The Dominant-Set Framework for Pairwise Data Clustering
Marcello Pelillo is an associate professor of computer science at Ca' Foscari University, Venice, where he also serves as the chair of the board of studies of the Computer Science School. He held visiting research positions at Yale University, the University College London, McGill University, the University of Vienna, York University (England), and the Australian National University. He has published more than 100 technical papers in refereed journals, handbooks, and conference proceedings in the areas of computer vision, pattern recognition and neural computation. He has been actively involved in the organization of several scientific meetings and, in 1997, he co-established a new series of international conferences devoted to energy minimization methods in computer vision and pattern recognition (EMMCVPR), which has now reached the seventh edition. He is regularly on the program committees of the major international meetings in his fields and serves on the editorial board for the journals IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition. Prof. Pelillo is a Senior Member of the IEEE and a Fellow of the IAPR.
The lecture will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised learning and (evolutionary) game theory. The framework is centered around the notion of a "dominant set," a novel graph-theoretic concept which generalizes that of a maximal clique to edge-weighted graphs. Algorithms inspired from evolutionary game theory, and applications in computer vision and pattern recognition will be discussed.
Workshop Program Committee
Ferri Francesc J., Universitat De Valencia, Spain
Dimosthenis Karatzas, Computer Vision Centre, Spain
Jean-marc Ogier, Laboratoire Informatique, Image, Interaction (l3i), France
Dit-Yan Yeung, Hong Kong University of Science and Technology, Hong Kong
List not yet complete.
Prospective authors are invited to submit papers for oral presentation in any of the topics listed above. Only full papers in English will be accepted, and the length of the paper should not exceed 10 pages.
Instructions for preparing the manuscript (in Word and Latex formats) are available at the conference Paper Templates web page. Please also check the web page with the Submission Guidelines.
Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris
All accepted papers will be published in the workshop proceedings book, under an ISBN reference, and in CD-ROM support.
At least one author of an accepted paper must register for the workshop. If the registration fees are not received by March 17, 2009 the paper will not be published in the workshop proceedings book.
ICEIS Workshops - PRIS 2009