Current Trends in Computer Science the Annual International Conference of the Mexican Computer Science Society http://enc.smcc.org.mx/current-trends Morelia, Mexico September 26-28, 2007 Important Dates Paper Submissions Due: May 4, 2007 Notification of Acceptance: June 4, 2007 Camera Ready Versions Due: July 9, 2007 Author Registration Deadline: July 9, 2007 Early Registration Deadline: August 20, 2007 Conference: September 26-28, 2007 The Mexican Computer Science Society organizes a yearly meeting gathering researchers, students, educators and industry leaders for a week. This meeting is a multiconference with many workshops, tutorials, international conferences and student activities. The international conference Current Trends in Computer Science is a multi-track conference around a hot topic for the Mexican research community. This year the trend/topic is information processing and retrieval from three points of view. The first track is about classical information retrieval and the web with standard methods. The second track focuses on data analysis and management, that is, the frontier between pattern recognition and databases, where large-scale applications need to handle and retrieve multimedia and complex objects. The third track focuses on the user-driven software systems motivated by the above problems. Track One: Information Retrieval co-chairs: Vibhu Mittal, Carnegie Mellon University, USA Martin Farach-Colton, Rutgers Univesity, USA The Information Retrieval Track will be a forum for the presentation of new research results, systems and techniques in the broad field of information retrieval (IR). The track welcomes contributions related to any aspect of IR, including: * IR theory and analysis of new models * IR systems: Performance, Compression, Scalability, Architectures, Efficiency * IR Evaluation, Test collections, Evaluation methods and metrics * Content representation, indexing, and data structures * Interactive IR, User interfaces and visualization, * Citation and link analysis, Adversarial IR in the presence of spam * Cross-language retrieval, Machine translation for IR * Video and image retrieval, Audio and speech retrieval, Music retrieval * Machine learning for IR * New models for information dissemination: Question answering, summarization, etc * Text Mining * Text Categorization and Clustering Information on how to submit can be found in the submission guidelines. Invited Speaker: Ian Witten, University of Waikato, New Zealand Program Committee Members: Henry S. Baird, Lehigh University, USA Giuseppe Carenini, University of British Columbia, Canada Francine Chen, FX Palo Alto Laboratory, USA Hang Cui, Google, China Brian D. Davison, Lehigh University, USA Pavan Deshpande, MIT USA Pavan Desikan, Google, USA Martin Farach-Colton, (Track Co-Chair) Rutgers Univesity, USA Dayne Freitag, Fair Isaac Corporation, USA Alexander Gelbukh, National Polytechnic Institute, México Gregory Grefenstette, CEA LIST, France Alexander Hauptmann, Carnegie Mellon Univesity, USA Aurelio López-López, Instituto Nacional de Astrofísica, Ã"ptica y Electrónica, México Vibhu Mittal, (Track Co-chair) Carnegie Mellon University, USA Manuel Montes y Gómez, Instituto Nacional de Astrofísica, Ã"ptica y Electrónica, México Paul Munro, University of Pittsburgh, USA Cecile Paris, CSIRO ICT Centre, Australia Prasad Pingali, IIIT, Hyderabad, India Greg Rae, 22by7 Labs, USA Berthier Ribeiro-Neto, Federal University of Minas Gerais, Brazil Mehran Sahami, Google, USA Alfredo Sánchez, Universidad de las Américas Puebla, México Ali Shokoufandeh, Drexel University, USA Torsten Suel, Polytechnic University, USA ChengXiang Zhai, University of Illinois at Urbana-Champaign, USA José Luis Zechinelli Martini, Universidad de las Américas Puebla, México