VISION-LIST digest 24.12
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- Date: Fri, 02 Dec 2005 21:55:22 GMT
VISION-LIST Digest Fri Dec 02 13:53:32 PST 2005 Volume 24 : Issue 12
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Today's Topics:
JOB : Vision Systems Research Engineer - Micro Encoder - WA, USA
JOB : Research Scientist - PNL - Richland, WA USA
JOB : Research Scientists - PNL - Richland, WA
JOB : Post-Doc RA - Univ London - UK
JOB : Postdoc RA - Univ Sheffield - UK
JOB : PDF and Phd/MASc studentship - Univ Waterloo - Canada
JOB : PhD Studentship - Univ London - UK
CFP : 18th Int Conf on PR - Hong Kong - 15DEC2005
CFP : 2006 British MV Conf - Edinburgh, UK - 12APR2006
CFP : Artic. Motion & Deform. Objects 2006 - Spain - 15FEB2006
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From: "Lori Sunich" <loris@xxxxxxxxxxx>
Subject: JOB : Vision Systems Research Engineer - Micro Encoder - WA, USA
Vision Systems Research Engineer
Req. #2005-06
Micro Encoder Inc. (MEI) an R&D company located in the beautiful Pacific
Northwest develops sensors, software, and measurement technologies for
state-of-the-art industrial inspection applications. We are seeking a
Vision Systems Research Engineer to join our world-class research and
development team.
Education Required:
M.S. or Ph.D. or equivalent experience in physical sciences, CS/EE
Experience Required:
3-5 years in imaging systems/algorithms R&D
Skills Required:
* System-level design and development of machine vision systems
* Design algorithms for image processing and analysis, for example, pattern
recognition, image segmentation, edge detection, wavelet analysis, and
sub-pixel
interpolation
* Design, implementation and optimization of prototype imaging systems and
components including real-time image capture and processing, testing, and
calibration
* Ability to prototype research results for efficient communication and
transfer
to customer
* Matlab, C/C++ programming
* Ability to design algorithms for general metrology applications
* Ability to work with and interface hardware (cameras, framegrabbers, light
sources), optical test equipment (power meters, spectrometers), and other
sensors
* Team oriented interpersonal skills
Beneficial Experience/Skills:
* Precision dimensional metrology experience
* Experience in developing industrial imaging applications such as automated
online inspection
* Understanding of optics related to vision systems
* Experimental design, multi-parameter analysis
* Object oriented design/programming
* Optics simulation
* Fast low-level algorithm implementation experience
* Experience in patent preparation and review
Essential Functions:
* Consistent attendance and performance
* Ability to work independently and in team environment
* Creation of commercially viable, innovative concepts and designs
Duties & Responsibilities:
* Conduct original research and generate commercially viable, innovative
and patentable ideas and concepts in the field of machine vision / image
processing / dimensional metrology. Create prototypes of ideas and
concepts
* Develop feature / system requirements and specifications
* Transfer results and value to customer
* Assignments require advanced knowledge, independent thinking, initiative,
and creativity
MEI offers a progressive, challenging, and casual team-oriented work
environment.
Competitive salaries and an excellent benefit package, including matching
401k. Email cover letter and resume to jobs@xxxxxxxxxxx; mail to 11533 NE
118th St, Kirkland, WA 98034; fax to 425-821-3228. Refer to
req.#2005-06.
Please visit www.microen.com for additional information.
Applicants must be currently authorized to work in the U.S.
------------------------------
From: "Martin, Mariah M" <mariah.martin@xxxxxxx>
Subject: JOB : Research Scientist - PNL - Richland, WA USA
The Spatial Analytics Group at the Pacific Northwest National Laboratory
is seeking a research scientist with strong background in design and
implementation of new software modules for digital photogrammetry,
computer vision, and image processing functions. Some knowledge of
geospatial information systems, strong computational capabilities and
solid applied "first principles" mathematics education are essential.
PNNL is a Department of Energy National Laboratory in Richland, WA.
The successful candidate will work in support of our Spatial Analytics
group, focusing on design/development of software systems related to
image matching and registration, 3-D image modeling, automated feature
extraction, sensor modeling, and pattern recognition. Must be capable of
performing independent research but also willing to work on projects and
solving problems in a team environment. Expected to perform literature
reviews, develop novel and advanced computer algorithms for clients, and
contribute to the publication of results in scholarly outlets. Minimum
Requirements A Master's degree with 3 years experience or a Ph.D. with
1-2 years experience is required. Must be a skilled professional who
applies a broad basis of existing theories, principles, and concepts to
a specialty field. Qualifications An MS degree is preferred in Digital
Photogrammetry, computer Science, Applied Mathematics, or a related
discipline with 2-3 years work experience or relevant university
studies/research. Experience working in at least three of the following
areas is required: computer vision, image matching or registration,
feature extraction, shape modeling, and image sensor modeling. Key skill
requirements include: C or C++, MATLAB. Some experience with C# is a
plus.
Other information: Must be a U.S. Citizen with ability to obtain and
maintain a future DOE clearance. Contact
mailto:mariah.martin@pnl.)gov for more information.
------------------------------
From: "Martin, Mariah M" <mariah.martin@xxxxxxx>
Subject: JOB : Research Scientists - PNL - Richland, WA
The Spatial Analytics Team at the Pacific Northwest National Laboratory
is seeking a research scientist with strong background in three or more
of the following areas: remote sensing, digital image processing,
pattern recognition, computer vision, geographic information systems
(GIS), photogrammetry, and geodesy. Strong computational capabilities
and solid applied "first principles" mathematics education are
essential. PNNL is a Department of Energy National Laboratory located
in Richland, WA.
The successful candidate will work in support of our Spatial Analytics
efforts, focusing on design/development of software systems related to
spatial data/information, 3-D image modeling, automated feature
extraction, and pattern recognition. Must be capable of performing
independent research but also willing to work on projects and solving
problems in a team environment. Expected to perform literature reviews,
develop novel and advanced computer algorithms for clients, and
contribute to the publication of results in scholarly outlets. Minimum
Requirements: A Bachelor's degree with at least 5 years experience or a
Master's degree with 3 years experience or a Ph.D. with 1-2 years
experience is required. Must be a skilled professional who applies a
broad basis of existing theories, principles, and concepts to a
specialty field.
Qualifications: Masters Degree preferred in Geospatial Data Analysis,
Digital Photogrammetry, Computer Science, Applied Mathematics, or a
related discipline, with 2-3 years work experience or relevant
university studies/research. Experience working in at least three of the
following areas is required: GIS development, geospatial data analysis,
feature extraction, shape modeling, and image sensor modeling. Strong
programming skills are required. Key skill requirements include: C or
C++, and MATLAB. Experience with ERDAS Imagine, ESRI ArcGIS,or ENVI/IDL
is highly desired. Some experience with C# is a plus. The position will
consist of performing basic and applied state-of-the-art research that
addresses needs in the spatial analysis and geospatial intelligence
communities.
Other Information: Must be a U.S. Citizen with ability to obtain and
maintain a future DOE clearance. Management may make 2 hires. Contact
mailto:mariah.martin@xxxxxxx for more information.
------------------------------
From: "Andrea Cavallaro" <andrea.cavallaro@xxxxxxxxxxxxxxx>
Subject: JOB : Post-Doc RA - Univ London - UK
Post-Doctoral Research Assistant in multimodal object tracking (2 years)
* Location: London, UK
* Title: Multi-modal object tracking in a network of audiovisual sensors
Applications are invited for a Post-Doctoral Research Assistant position
with the Digital Signal Processing and Multimedia Research Group of the
Electronic Engineering Department, Queen Mary, University of London
( http://www.elec.qmul.ac.uk/research/dsp )
* Project description
The aim of this project is to develop a unified scheme cooperative
multi-modal and multi-sensor tracking. The multi-sensor network will be
composed of stereo microphones coupled with omni-directional and with
pan-tilt-zoom cameras. Sound information will be used to discriminate
ambiguous visual observations as well as to extend the coverage area of
the sensors beyond the field of view of the cameras.
Although single modality as well as multi-modality trackers have
achieved some success, a number of important tracking issues remain open
for enabling the adoption of these algorithms in real-world scenarios.
Among these issues, three important inter-related problems will be
addressed in this project, namely the definition of a generic and
flexible feature representation for a target, a reliable mechanism to
update the target model based on incoming observations, and a robust
multi-sensor handover strategy.
First, we will study and develop a robust and adaptive representation of
objects based on their acoustical and visual attributes while moving
across the network of heterogeneous sensors. Next, object models will be
learned in the high-dimensional multi-modal feature space and used for
inter-sensor tracking. To evaluate the tracking scheme, a test corpus
and its associated ground-truth data will be created for use in the
project as well as for distribution to the research community to
facilitate comparisons.
* Workplace
The normal place of work will be Queen Mary, University of London, but
the candidate will have the opportunity to spend an internship period
with Intel Labs in Santa Clara, California. The successful candidate
will join an expanding research group engaged in a variety of national
and international projects on digital media and content technologies.
Queen Mary, University of London is situated in Mile End, bordering
Regents Canal, close to Canary Wharf and to the City of London.
* Period of appointment
The funding for the post is for 24 months, starting as soon as possible.
The initial contract for this post is for 12 months, renewable. The post
will be up to Grade RA1A scale Spinal point 8, depending on experience.
The post-doc will engage in research to fulfill the requirements of the
project and must have expertise in some of the following research areas:
target tracking, adaptive/intelligent signal processing (Bayesian
networks, independent component analysis, hidden Markov models), low
level audio and video feature extraction, and programming experience in
C/C++ and Matlab.
The post-doc will be required to co-operate with and to communicate with
other members of the Digital Signal Processing and Multimedia Research
Group, to write and to edit contributions to project documents,
including learned papers for journals and conferences, and to attend
regular project meetings.
* For informal enquiries and application procedure:
contact Dr Andrea Cavallaro ( mailto:andrea.cavallaro@xxxxxxxxxxxxxxx )
------------------------------
From: Neil Lawrence <neil@xxxxxxxxxxxxxx>
Subject: JOB : Postdoc RA - Univ Sheffield - UK
The following postdoc position in probabilistic modelling of human
motion data is available at the University of Sheffield in the
Department of Computer Science.
Job Title: Postdoctoral Research Associate
Job Location: Department of Computer Science
University of Sheffield, U.K.
Job Ref No: PR2250
Closing Date: 22nd December, 2005
Salary: £22,774 - £28,850 per annum
Project Summary
The focus of the work will be on the construction of probabilistic
models for modelling human motion capture data. The project is a
collaboration between Professor Philip Torr of Oxford Brookes University
and Dr Neil Lawrence of Sheffield University. Applicants should have, or
should be about to receive a PhD in a related area (e.g. machine
learning, graphics, vision). The post is for a period of up to one year.
The position is funded as a pump-priming project by the PASCAL European
Network of Excellence. It is expected, as part of the project, that a
submission for extended funding will be made through the EU or UK
research councils with the successful applicant as a named research
associate.
Neil Lawrence will be available at NIPS to conduct informal interviews
for interested candidates. Please mailto:neil@xxxxxxxxxxxxxx if you
would like to discuss the position there.
More details of the position are available at
http://www.dcs.shef.ac.uk/~neil/postdoc1105.html
------------------------------
From: "David Clausi" <dclausi@xxxxxxxxxxxxxxxxxxxx>
Subject: JOB : PDF and Phd/MASc studentship - Univ Waterloo - Canada
Prof. David A. Clausi, Associate Professor in the Department of Systems
Design Engineering at the University of Waterloo (www.uwaterloo.ca)
(Canada), is looking for a PDF as well as a pair of graduate students to
commence sometime in 2006 in the interdisciplinary science of computer
vision applied to remotely sensed imagery.
The project involves the segmentation/classification of remotely sensed
imagery, with an emphasis on operational classification of synthetic
aperture radar (SAR) sea ice imagery. The research is conducted in
direct cooperation with the Canadian Ice Service (CIS), the agency
responsible for monitoring ice under Canadian jurisdiction for both
navigational (hazard avoidance) and environmental (e.g. global warming)
applications. CIS has an active interest in the use of automated
algorithms for classification of SAR sea ice imagery, and this supports
an applied research environment.
Interested people should have knowledge in one or more of the following
fields: computer vision, image segmentation, and pattern recognition.
Experience in remote sensing systems is desirable. We are focusing our
efforts on novel Markov models for both image segmentation and
classification and experience using such approaches is preferable.
Full funding is available. Awardees will be part of the Vision and
Image Processing (VIP) research group at the University of Waterloo.
Candidates need a solid grasp of the English language to competently
publish research results.
For additional information and/or to submit a CV, email Prof. Clausi
directly ( mailto:dclausi@xxxxxxxxxxxxxxxxxxxx ).
The University of Waterloo is a highly-ranked Canadian university with a
strong reputation in high tech fields located an hour drive west of Toronto,
Ontario. More information about the university can be found here:
http://www.uwaterloo.ca/aboutuw/index.php and rankings can be found here:
http://communications.uwaterloo.ca/macleans.html .
------------------------------
From: "Andrea Cavallaro" <andrea.cavallaro@xxxxxxxxxxxxxxx>
Subject: JOB : PhD Studentship - Univ London - UK
PhD Studentship in perceptual video processing (3 years)
* Location: London, UK
* Title: Perceptually-sensitive video encoding
Applications are invited for a CASE PhD studentship with the Digital
Signal Processing and Multimedia Research Group of the Electronic
Engineering Department, Queen Mary, University of London in
collaboration with BT Group CTO Research and Venturing.
* Project description
The development of new compression or transmission systems is driven by
the need of reducing the bandwidth and storage requirements of images
and video while increasing their perceived visual quality. Traditional
compression schemes aim at minimizing the coding residual in terms of
mean squared error (MSE) or peak signal-to-noise ratio (PSNR). This is
optimal from a purely mathematical, but not a perceptual point of view.
Ultimately, perception is the more appropriate and more relevant
benchmark. Therefore, the objective must be to define a codec that
maximizes perceived visual quality such that it produces better quality
at the same bit rate as a traditional encoder or the same visual quality
at a lower bit rate.
The research will centre on standard video coders and will exploit
semantic segmentation, human visual attention models and foveation. The
main objectives of the project are the following: (1) to develop a
perceptually-sensitive video encoding algorithm; (2) to study a model of
visual attention in video and to validate it with subjective experiments
using an eye tracker; (3) to extensively test and evaluate the improved
encoder with standard data sets.
* Workplace
The normal place of work will be Queen Mary, University of London, but
the candidate will have the opportunity to spend some periods,
distributed over the project life and totaling a minimum of 3 months,
within BT. The successful candidate will join an expanding research
group engaged in a variety of national and international projects on
digital media and content technologies.
Queen Mary, University of London is situated in Mile End, bordering
Regents Canal, close to Canary Wharf and to the City of London.
* Eligibility
The studentship is open to UK and EU students only. For UK residents it
covers the cost of home student tuition fees as well as a tax-free EPSRC
maintenance stipend (www.epsrc.ac.uk). For EU students it only covers
the cost of tuition fees and does not include a maintenance stipend. In
addition, for both UK and EU students, a stipend contribution of £3,000
per annum will be made by the CASE sponsor. Applicants must have a first
degree in mathematical science, physics, statistics, computer science,
electronic engineering or allied disciplines (minimum 2:1 or
equivalent), and excellent mathematical and programming skills. Previous
experience of digital signal processing or computer vision is desirable,
although not mandatory.
* Start date: 1st May 2006
* Application:
Applicants should follow the guidelines that can be found at
http://www.elec.qmul.ac.uk/study/phd/res-stud.htm
* For informal enquiries and closing date: contact Dr Andrea Cavallaro
( mailto:andrea.cavallaro@xxxxxxxxxxxxxxx )
* Links
DSP and Multimedia Group: http://www.elec.qmul.ac.uk/research/dsp/
BT Group CTO Research and Venturing: http://www.bt.com
------------------------------
From: ICPR 2006 <icpr06@xxxxxxxxxxxxxxxx>
Subject: CFP : 18th Int Conf on PR - Hong Kong - 15DEC2005
C A L L F O R P A P E R S
ICPR 2006
The 18th International Conference on Pattern Recognition
20-24 August 2006
Hong Kong
http://www.comp.hkbu.edu.hk/~icpr06
The 18th International Conference on Pattern Recognition (ICPR'06) is a
biennial event of the International Association for Pattern Recognition
(IAPR). ICPR'06 will be hosted by Hong Kong Baptist University and held
in Hong Kong Convention and Exhibition Center. ICPR'06 will be a major
multi-track international conference and provide a stimulating
scientific environment for academics, industry and researchers to
exchange their views and have a chance for in-depth face to face
discussions.
The five selected tracks are:
Track I: Computer Vision and Image Analysis
Track II : Pattern Recognition and Basic Technologies
Track III : Signal, Speech and Image Processing
Track IV : Systems, Robotics and Applications (with Associated Theme:
Biometrics) Track V : Cognitive Approaches & Soft Computing
IMPORTANT DATES
Full paper submissions due: December 15, 2005
Notification of acceptances: March 15, 2006
Final camera-ready papers due: May 15, 2006
PAPER SUBMISSION
The paper page limit is 4 pages. Anonymous papers should be written in
English and submitted in pdf format. Formatting instructions provided by
the IEEE Computer Society Press are available from the ICPR'06
conference website. By submitting your paper, you warrant that neither
it nor any related paper with essentially the same technical content has
been submitted for publication anywhere else.
Call for WORKSHOPS and TUTORIALS
Full-day workshops and half-day tutorials will be held on August 20,
2006. Proposals and enquiries can be sent to the workshop and tutorial
chairs.
General Chair & General Co-Chairs Yuan Yan Tang, Hong Kong Baptist
University, Hong Kong (General Chair)
Patrick Wang, Northeastern University, USA G. Lorette, Universite de
Rennes 1, France
Daniel So Yeung, Hong Kong Polytechnic University, Hong Kong (Technical)
Organizing Committee
Organizing Committee Co-Chairs Ru-Wei Dai, Institute of Automation,
Academia Sinica, China
Chun-hung Li, Hong Kong Baptist University, Hong Kong
Hong Yan, City University of Hong Kong, Hong Kong
Workshop Co-Chairs Nanning Zheng, Xi'an Jiaotong University, China
James Kwok, Hong Kong University of Science and Technology, Hong Kong
Tutorial Co-Chairs Chao Huan Hou, Institute of Acoustics, Academia
Sinica, China
Dit-Yan Yeung, Hong Kong University of Science and Technology, Hong Kong
Web Chair William Cheung, Hong Kong Baptist University, Hong Kong
Publication Chair Xiaowen Chu, Hong Kong Baptist University, Hong Kong
Local Arrangement Co-Chairs Kelvin Wong, Hong Kong Baptist University,
Hong Kong
Kenneth K.M. Lam, Hong Kong Polytechnic University, Hong Kong
Poster Chair Irwin King, Chinese University of Hong Kong, Hong Kong
Publicity Co-Chairs Yiu-ming Cheung, Hong Kong Baptist University, Hong
Kong
Man-wai Mak, Hong Kong Polytechnic University, Hong Kong
Registration Chair
Victor Cheng, Hong Kong Baptist University, Hong Kong
Track Chairs
Track Chairs for Computer Vision and Image Analysis
Brian Lovell, University of Queensland, Australia
Long Quan, Hong Kong University of Science and Technology, Hong Kong
Track Chairs for Pattern Recognition and Basic Technologies
Bob Haralick, City University of New York, USA
Tin Kam Ho, Bell Laboratories, USA
Track Chairs for Signal, Speech and Image Processing
Andreas Dengel, Kaiserslautern University, Germany
Kazuhiko Yamamoto, Gifu University, Japan
Track Chairs for Systems, Robotics and Applications (with Associated
Theme: Biometrics)
Gabriella Sanniti di Baja, Istituto di Cibernetica, Italy
Seong-Whan Lee, Korea University, Korea
Track Chairs for Cognitive Approaches & Soft Computing
Pong C Yuen, Hong Kong Baptist University, Hong Kong
Horace Ip, City University of Hong Kong, Hong Kong
ICPR'06 is co-sponsored by IAPR and Hong Kong Baptist University and is
supported by the Chinese Association of Automation.
------------------------------
From: Bob Fisher <rbf@xxxxxxxxxxxx>
Subject: CFP : 2006 British MV Conf - Edinburgh, UK - 12APR2006
FIRST CALL FOR PAPERS
British Machine Vision Conference 2006, Edinburgh
http://www.macs.hw.ac.uk/bmvc2006/
The British Machine Vision Conference (BMVC) is the main UK
conference on machine vision and related areas. Organised by the
British Machine Vision Association, the 17th BMVC will be held
September 4-7 2006 in Edinburgh organised jointly by Heriot-Watt University
and Edinburgh University.
Papers will be refereed on their originality, presentation, empirical
results, and quality of evaluation. All papers will be blind-refereed,
normally by three members of the international programme committee.
The submissions web site is: http://www2.wiau.man.ac.uk/bmvc2006/
Conference topics include both theory and applications
(but are not limited to):
* Statistics and machine learning for vision
* Model-based vision
* Stereo, calibration, and geometry
* Image processing techniques and methods
* Object recognition
* Texture, shape, and colour
* Motion, flow and tracking
* Video analysis
* Segmentation and feature extraction
* Vision for visualisation and graphics
* Person, face, and gesture recognition
* Document processing and recognition
* Biomedical applications
BMVC2006 will be a single-track meeting with oral and poster
presentations. The proceedings will be available to delegates at
the conference in hard copy and on CD and a selection of the best
papers will be invited to be published separately in a special issue
of the journal Image and Vision Computing.
In addition to the contributed papers, BMVC 2006 will include
presentations by invited speakers (to be announced)
and a pre-conference tutorial (to be announced).
Delegates will be able to view poster presentations and see
demonstrations by both industrial exhibitors and researchers.
IMPORTANT DATES
Deadline for paper submission: 12th April 2006
Notification of acceptance: 12th June 2006
Deadline for camera-ready electronic copy: 3rd July 2006
WORKSHOPS
Proposals for one-day workshops to run on Friday Sept 8 are invited.
Please send requests to Bob Fisher (rbf@xxxxxxxxxxxx) by April 1, 2006.
For further details please see the conference website at:
http://www.macs.hw.ac.uk/bmvc2006/
You can obtain a PDF flyer of the CFP at:
http://homepages.inf.ed.ac.uk/rbf/cfp1_BMVC2006_v4.pdf
------------------------------
From: Bob Fisher <rbf@xxxxxxxxxxxx>
Subject: CFP : Artic. Motion & Deform. Objects 2006 - Spain - 15FEB2006
First Call for Papers
IV Conference on Articulated Motion and Deformable Objects (AMDO-e 2006)
Andratx, Mallorca, Spain
11-14 July, 2006
http://dmi.uib.es/amdo2006
(AERFAI) and the Mathematics and Computer Science Department of UIB are
organising the fourth international conference AMDO Evolution 2006 that
will take place in Puerto de Andratx, Mallorca. This conference is the
natural evolution of the AMDO2004 workshop. The goal of this conference
is to promote interaction and collaboration among researchers working
directly in the areas covered by the main tracks. The new perceptual
user interfaces and the emerging technologies increase the relation
between areas involved with human-computer interaction. The perspective
of the AMDO-e 2006 conference will be to strengthen the relationship
between the many areas that study the human body using computer
technologies as the main tool. It is a great opportunity to encourage
links between research in the areas of computer vision, computer
graphics, advanced multimedia applications and multimodal interfaces
that share common problems and frequently use similar techniques or
tools. In this particular edition the related topics are divided in
several parallel tracks, including the topics above proposed.
The AMDO-e 2006 will consist in three days of lecture sessions, both
regular and invited presentations, a poster session and tutorials.
TOPICS INCLUDE (but not restricted to):
Track 1: Computer Graphics (Human Modelling & Animation)
Track 2: Human Motion (Analysis, Tracking, 3D Reconstruction & Recognition)
Track 3: Multimodal User Interaction (VR & AR, Speech, Biometrics)
Track 4: Advanced Multimedia Systems (Standards, Indexed Video Contents)
PAPER SUBMISSION AND REVIEW PROCESS
Papers should describe original and unpublished work about the above or
closely related topics. Please submit your paper electronically at our
website using the software provided. All submissions should be in Adobe
Acrobat (.pdf) format and LNCS Springer Style. The AMDO-e 2006 secretariat
must receive your paper before the February 15, 2006. Up to 10 A4 pages
will be considered. All papers submitted will be subjected to a blind
review process by at least three members of the program committee. The
initial paper must not provide names and affiliation, and should include
a title, a 150-word abstract, keywords and paper manuscript. Accepted
papers will appear in the international proceedings (LNCS Springer-Verlag)
that will be published and distributed to all participants at the
conference. For more details and news, visit our web page
http://dmi.uib.es/amdo2006
N.B. Submission implies the willingness of at least one of the authors
to register and to present the communication at the conference, if accepted.
IMPORTANT DEADLINES:
Submission of papers Feb 15, 2006
Notification of acceptance April 1, 2006
Camera-ready May 1, 2006
Early registration deadline June 1, 2006
IV AMDO-e Conference 2006 July 11-14, 2006
GENERAL CO-CHAIRS:
Perales, F. J. (Comp. Science Dep. UIB, Spain)
Fisher, B. (University of Edinburgh, UK
CONTACT: mailto:amdo@xxxxxx
PLACE: Hotel Mon Port ****, Puerto de Andratx, Mallorca, Spain
http://www.hotelmonport.com
SPONSORS: IAPR, AERFAI, UIB, EG
------------------------------
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