Call for papers
Apologies for cross-posting
Current Trends in Computer Science
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
General Chair
Martin Farach-Colton, (Rutgers Univesity, EEUU)
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.
Tracks
* Information Retrieval
Co-chairs
Vibhu Mittal, Carnegie Mellon University, USA
Martin Farach-Colton, Rutgers Univesity, USA
Invited Speaker: Ian Witten, University of Waikato, New Zealand
* Scalable Pattern Recognition
Chair Gonzalo Navarro, Universidad de Chile, Chile
Invited speaker: Hanan Samet, University of Maryland.
* User Centered Software Systems
Co-chairs
Jesus Favela, CICESE, Mexico
Genoveva Vargas, CNRS, LSR-IMAG, France
Invited speaker: Marie Christine Rousset, Université
Joseph Fourier.
Track Information Retrieval
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
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
Pawan 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, INAOE, México
Vibhu Mittal, (Track Co-chair) Carnegie Mellon University, USA
Manuel Montes y Gómez, INAOE, México
Paul Munro, University of Pittsburg, 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, UDLA Puebla, México
Track Scalable Pattern Recognition
Pattern recognition and content-based object retrieval share a large
number of characteristics but are usually addressed from different
communities. The pattern recognition community proposes feature
extraction and classification techniques that are tested in
small-scale scenarios (a few thousand objects are enough to determine
if a feature or classifier is worth to be pursued). On the other hand,
the database community looks for the technology to access (very) large
repositories of objects modeled as high-dimensional vector spaces, or
as metric spaces.
The aim of this track is to bring together researchers from both
communities, focusing especially on the problem posed by applications
that need to handle and retrieve objects from massive databases.
Papers where extraction and classification techniques are proposed and
examined under the light of the efficiency that can be achieved for
massive data sets, or where efficient access methods are proposed for
existing pattern recognition techniques, are especially welcome.
The topics include
* pattern recognition
* feature extraction and signal processing
* scalable classifiers
* image processing
* audio processing
* data clustering
* streams and stream-based signal processing
* metric indexes
* high dimensional access methods
* implementation of multimedia databases
* efficient similarity searching
Program Committee
Sebastiano Battiato, Universitá di Catania, Italy
Carlos Brizuela, CICESE, Mexico
Benjamin Bustos, Universidad de Chile,
Edgar Chávez, Universidad Michoacana/CIMAT, Mexico
Paolo Ciaccia, Universitá di Bologna, Italy.
Arturo Hernandez CIMAT, Mexico
Tin Kam Ho, Bell Labs Research, USA.
Jose Luis Marroquin, CIMAT, Mexico
José Martinez Trinidad INAOE, Mexico
Daniel Miranker, University of Texas at Austin, USA.
David Mount, University of Maryland, USA.
Arlindo Oliveira, INESC Lisboa, Portugal.
Marco Patella, Universitá di Bologna, Italy.
Hanan Samet, University of Maryland.
Tomas Skopal, Charles University, Prague, Czech Republic
Enrique Vidal, Universidad Politécnica de Valencia,
Pavel Zezula, Masaryk University, Czech Republic.
Track: User Centered Software information Systems (UCSS)
Recent advances in communications and software infrastructures are
making possible the design and development of large-scale information
systems that go beyond the limits of individual use and encourage
virtual collaboration of distributed communities. Ordinary people and
organizations want to create and share images, movies, music and
experiences with each other. Besides, today, mobile, pervasive, are
embedded environments are becoming common contexts in which
information can be accessible. Information management and exploitation
systems must be tuned according to user requirements and execution
environments characteristics.
To deal with current information overload, efficient and adaptable
information management systems are required. Such systems must handle
huge volumes of files and information, and support the extraction of
pertinent information according to specific application and user
requirements. Current research on information systems development
focuses on capturing, sharing, exploiting, reusing and communicating
information, data and content.
Authors are invited to submit original
works on relevant topics, including, but not restricted to:
Software engineering
* Agile software techniques
* Software engineering techniques and methodologies
* Software processes modelling and enactment
* Software quality and metrics
* Software architectures
* Middleware services
* Object oriented programming
* Component oriented programming
* Service oriented programming
* Programming paradigms: object oriented, component oriented and
service oriented
* Visual programming
* Web engineering
Human computer interaction
* Adaptive interfaces
* Evaluation methods
* Guidelines and design heuristics
* HCI for mobile and ubiquitous computing
* Information visualization
* Intelligent user interfaces
* Interaction techniques
* Interfaces for people with disabilities
* Multimodal interfaces
* Speech and natural language interfaces
* Theory of HCI
* Usability engineering
* User modelling and personalization
* Virtual and augmented reality
Collaborative computing
* Computer-supported collaborative learning
* Digital communities
* Groupware development frameworks and toolkits
* Hypermedia systems
* Internet/web-based collaboration
* Mobile collaborative systems
* Multi-user interfaces
* Organizational computing
* Workflow management
Ubiquitous and mobile distributed computing
* Adaptable systems
* Ambient intelligence
* Benchmarking and optimization
* Context-aware computing
* Grid computing
* Sensor based networks and databases
* P2P architectures
* Toolkits and middlewares for ubicomp
Program committee
Pedro Antunes, Universidade de Lisboa, Portugal
Marcos Borges, UFRJ, Brasil
César Collazos, U. del Cauca, Colombia
Christine Collet, INPG, France
Thierry Coupaye, France Télecom R&D
Yannis Dimitriadis, U. de Valladolid, Spain
Thierry Delot, U. Valenciennes, France
Marlon Dumas, U. Queensland, Australia
Jesus Favela, CICESE, Mexico (track co-chair)
Luciano García Bañuelos, U. Autonoma de Tlaxcala, Mexico
Victor González, U. Manchester, UK
Stephan Lukosch, Fern Universität in Hagen, Germany
Leandro Navarro, UPC, Spain
Oscar Mayora, CREATE-NET, Italy
Esperanza Marcos, Universidad Rey Juan Carlos, Spain
Hanna Oktaba, UNAM, Mexico
Marie Christine Rousset, UJF, France
Alfredo Sánchez, UDLA, Mexico
Genoveva Vargas, CNRS, France (track co-chair)
Aurora Vizcaino, UCLM, Spain
José Luis Zechinelli-Martini, UDLA, Mexico
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