www.Usenet.com
www.Usenet.com
| <-- __Chronological__ --> | <-- __Thread__ --> |
VISION-LIST Digest Mon Nov 24 12:53:06 PST 2003 Volume 22 : Issue 20
- ***** The Vision List host is VISLIST.COM *****
- Send submissions to [EMAIL PROTECTED]
- Vision List Digest and Archives available at http://WWW.VISLIST.COM
- If you don't have access to a web browser, you can read the
Vislist from the newsgroup comp.ai.vision or send email to
[EMAIL PROTECTED] to request mailing list membership
- Access Vision List Archives via anonymous ftp to ftp://FTP.VISLIST.COM
- Vision List supported by Directed Perception (http://www.DPerception.com)
Today's Topics:
Q&A : Facial Feature Extraction Algorithm
JOB : CV Programmer - Guardian Solutions - Colorado Springs CO
JOB : Research scientist - Siemens Corp Research - Princeton, NJ
JOB : Research Scientists - Siemens Medical - Malvern, PA
JOB : Research Scientists (Imaging) - Siemens Medical - Malvern, PA
JOB : Postdoctoral Fellowship - Univ of Houston - Houston, TX
JOB : Postdoc position - Siemens Corp Research - Princeton, NJ
JOB : Looking for CV engineer/intern/PhD student position
CFP : Face Processing in Video - Wash DC - Jan 17 2004
CFP : 6th IAPR Int WS Document Analysis - Italy - Feb 1 2004
CFP : Spatiotemporal IP - BMVA, London UK - Jan 10 2004
CFP : 4th Int Conf on Intell Sys - Budapest, Hungary - Feb 1 2004
----------------------------------------------------------------------
From: [EMAIL PROTECTED] (Gil Carmel)
Subject: Q&A : Facial Feature Extraction Algorithm
I am looking for facial feature extraction algorithm. The input is a
portrait of a person, the output is a set of curves identified as the
eyes, mouth, nose, eyebrows, hairline, etc.
I'm looking for something fairly well-contained (in the form of an API
or library), preferably in Java (though not necessarily). Free is
better, but licensing is a possibility. Any leads appreciated.
------------------------------
From: tboult <[EMAIL PROTECTED]>
Subject: JOB : CV Programmer - Guardian Solutions - Colorado Springs CO
Guardian Solutions Inc is opening an R&D Lab in Colorado springs and is
seeking a programmer with a background of C++ programing and Computer
Vision, Image Processing.
Requirements:
* MS in CS/CE/EE or BS + significant relevant experience.
* C/C++ Development experience in Unix (preferably Linux) and windows
required.
* Imaging/ComputerVision experience required.
* Multi-tasking and planning skills essential.
Security clearance, research experience, technical writing experience,
networking development and embedded systems are desired. Experience
with minor hardware assembly and trouble shooting a benefit.
JOB DESCRIPTION:
GuardianSolutions is an 18month old company, based in Bradenton FL,
which develops advanced distributed surveillance systems. The R&D
Lab is headed by Dr. T Boult who is Guardian's CTO and also a
professor at UCCS. We seek self-directed energetic talent, eager to
address challenging and diverse problems that arise in security and
surveillance R&D. The company currently has an ONR SBIR and a DARPA
STTR, and will aggressively be pursuing additional R&D projects.
The position will focus on advancing the state of the art in
vision-based surveillance, distributed sensors networks and physical
security. These advancements will be integrated with the existing
GuardianWATCH product code-base. Technical writing including
report/paper and proposal prepration, as well as SDK development,
will be part of this position.
This will be a full time position, starting immediately. We are
willing to consider qualified applicants interested in pursuing a
Ph.D. at UCCS.
LOCATION:
The position will be in N. Colorado Springs area, but the exact
location is uncertain (working from home will be considered).
The position will involve some travel, both to the company
headquarters, but more commonly for demonstrations/experiments at
remote locations.
If interested send resume, and phone contact info/times by email to
mailto:tboult @ guardiansolutions .com
------------------------------
From: "Xu, Chenyang" <[EMAIL PROTECTED]>
Subject: JOB : Research scientist - Siemens Corp Research - Princeton, NJ
Job posting number 1099
The Interventional Imaging Group of the Imaging and Visualization
Department of Siemens Corporate Research (SCR) has an immediate opening
for a Research Scientist. In this position, your work will span a bridge
between leading-edge research and the development of relevant medical
applications. Research topics include: image registration, in
particular non-rigid image registration, segmentation, visualization,
and other related imaging areas. (Note: To be considered for the
position, your research topics should be within our project topics.)
Ideal candidates will have a Ph.D. in CS/EE with a proven record in
research, innovative thinking, real world problem solving, and fast
prototyping. Experience with C++ and OpenGL is required. Candidates
with problem solving and leadership skills, solid background in image
processing and/or computer vision, and the desire and ability to learn
new technologies and apply them to challenging problems will find a
stimulating and rewarding career at SCR. We offer a competitive salary
and benefits package that reflects our leadership status.
For consideration, please email your resume and salary history, along
with the Posting Number of the position you are applying for, to:
mailto:[EMAIL PROTECTED]
We are an Equal Opportunity Employer.
------------------------------
From: Farkouh William <[EMAIL PROTECTED]>
Subject: JOB : Research Scientists - Siemens Medical - Malvern, PA
Research Scientists (Classification & Probabilistic Inference)
Entry-Level to Senior-Level Opportunities
Computer-Aided Diagnosis & Therapy Solutions Group - Siemens Medical
Solutions USA, Inc.
The Computer-Aided Diagnosis & Therapy Solutions Group, is building a
World-class R&D team with researchers in Medical Imaging. We have hired
several scientists and continue to grow with multiple, immediate and
ongoing, opportunities for Research Scientists (senior and entry-level).
You will conduct leading-edge research in reasoning from incomplete and
structured medical patient data, classification of patients/diseases, as
well as machine learning for automatically extracting patterns from large
amounts of numeric, imaging, text, and symbolic data, combine imaging,
clinical, and textual information, and other related areas.
Qualifications:
* *MUST* have an outstanding publication record, plus 5+ years of work
experience after your PhD. Candidates
* *MUST* also have significant research background in MACHINE LEARNING
(mostly CLASSIFICATION) and/or PROBABILISTIC INFERENCE, with publications in
leading conferences / journals in these areas.
* Ideal candidates will have a Ph.D. in CS/EE/Statistics/Applied Math
or an engineering discipline with an inter-disciplinary background in
machine learning, probabilistic reasoning, and/or statistics, with a proven
record in research, innovative thinking, real world problem solving, and
fast prototyping.
* Medical background (e.g., MD+PhD) is a plus, but not required
* Experiences in databases is a plus
Siemens Medical Solutions is one of the largest global suppliers of
healthcare equipment, renowned for innovative products, services and
solutions including diagnostic imaging systems, therapy equipment for
treatment and electromedicine and IT solutions to optimize workflow and
increase efficiency in the healthcare industry.
We are located in Malvern, PA, less than an hour from Center City
Philadelphia, in the suburban Main Line area. Siemens offers a
competitive salary, relocation assistance and benefits package that
reflects our leadership status.
For consideration, please click
herehttp://careers.peopleclick.com/Client40_Siemens/bu1/external_pages/jobsearc
h.asp
At the bottom of the page, under "Requisition ID", please input the
number 8505, then click "Run Search". Now click "Sr Staff Scientist"
and proceed with your online application. Please also include a list of
relevant publications. Recent Ph.D.'s or Ph.D. candidates should also
include their thesis abstract.
Equal Opportunity/Affirmative Action Employer
------------------------------
From: Farkouh William <[EMAIL PROTECTED]>
Subject: JOB : Research Scientists (Imaging) - Siemens Medical - Malvern, PA
Research Scientists (Imaging)
Entry-Level to Senior-Level Opportunities
Computer-Aided Diagnosis & Therapy Solutions Group - Siemens Medical
Solutions USA, Inc.
The Computer-Aided Diagnosis & Therapy Solutions Group, is building a
World-class R&D team with researchers in Medical Imaging. We have hired
several scientists and continue to grow with multiple, immediate and
ongoing, opportunities for Research Scientists (senior and entry-level).
In this position, you will be conducting leading-edge research and
development in activities involving segmentation, feature extraction,
deformable registration, classification, fusion and other related medical
imaging and computer aided diagnosis areas.
Qualifications:
* Ph.D. in CS/EE or related areas with a proven record in research,
innovative thinking, real-world problem solving, and fast prototyping
* Solid background in image processing and/or computer vision and
programming experience
* Experience in developing medical imaging applications is a definite
plus
* Ability to learn new technologies and apply them to challenging
problems
Siemens Medical Solutions is one of the largest global suppliers of
healthcare equipment, renowned for innovative products, services and
solutions including diagnostic imaging systems, therapy equipment for
treatment and electromedicine and IT solutions to optimize workflow and
increase efficiency in the healthcare industry.
We are located in Malvern, PA, less than an hour from Center City
Philadelphia, in the suburban Main Line area. Siemens offers a competitive
salary, relocation assistance and benefits package that reflects our
leadership status.
For consideration, please click here
http://careers.peopleclick.com/Client40_Siemens/bu1/external_pages/jobsearch.as
p
At the bottom of the page, under "Requisition ID", please input the
number 8503, then click "Run Search". Now click "Sr Staff Scientist"
and proceed with your online application. Please also include a list of
relevant publications. Recent Ph.D.'s or Ph.D. candidates should also
include their thesis abstract.
Equal Opportunity/Affirmative Action Employer
------------------------------
From: "Kakadiaris, Ioannis A" <[EMAIL PROTECTED]>
Subject: JOB : Postdoctoral Fellowship - Univ of Houston - Houston, TX
Position: Postdoctoral Fellowship
Organization: Dept of Computer Science &
Division of Bioimaging and Biocomputation,
Institute for Digital Informatics and Analysis, U. of Houston
Location: Houston, TX
DESCRIPTION:
Applications are invited for a Postdoctoral research position in
Medical Image Analysis in the broad area of computer-assisted
evaluation of diabetic retinopathy. The main objective of this
exciting research project is to establish a comprehensive framework
for optimal acquisition and deployment of digital imagery in
computer-assisted diabetic retinal evaluation. Our long-term goal is
reducing the incidence of vision loss by expanding the use of
computer-assisted medicine to reach beyond traditional health care
settings. This project is performed in collaboration with Prof.
Helen K. Li, M.D. (UT Medical Branch, Galveston).
QUALIFICATIONS:
Applicants should have a doctoral degree in a related area and should
have a strong background in medical image analysis. For
consideration, please submit (by email) a full C.V. and the names of
three references, as well as a summary of research interests.
CONTACT:
Prof. Ioannis Kakadiaris, Dept of Computer Science
Univ of Houston, MS CSC 3010, 4800 Calhoun, Houston, TX 77204-3010
Tel : (713) 743-1255, Fax: (713) 743-1250
mailto:[EMAIL PROTECTED] , http://www.vcl.uh.edu/~ioannisk/
UH is an equal employment opportunity employer and smoke-free
environment. Women and minority candidates are strongly encouraged to
apply.
------------------------------
From: "Xu, Chenyang" <[EMAIL PROTECTED]>
Subject: JOB : Postdoc position - Siemens Corp Research - Princeton, NJ
Job posting number 1110
The Interventional Imaging Group of the Imaging and Visualization
Department of Siemens Corporate Research (SCR) has an immediate opening
for a PostDoc Researcher. Our group consists of 12+ researchers,
including 3 PhD students and several student interns. We are the Center
of Competence for image registration within Siemens. As a postdoc, we
would like you to conduct leading-edge research with particular emphasis
on relevant clinical applications.
Research topics include: image registration, in particular non-rigid
registration, segmentation, visualization, image guidance, and other
related imaging areas. Ideal candidates will have a Ph.D. in CS/EE with
a proven record in research within our project topics, and good
prototyping skills. Experience with C++ is required.
For consideration, please email your resume, along with the Posting Number
of the position you are applying for, to: mailto:[EMAIL PROTECTED]
We are an Equal Opportunity Employer.
Siemens Corporate Research, Inc., is located in Princeton, NJ. It is one
of five corporate research labs of Siemens, and has - within Siemens -
the global responsibility for selected core technologies, most
prominently in the field of imaging and visualization. In this field,
more than 50 research scientists are working at SCR, predominantly for
medical applications. SCR has strong ties to academia as well as to the
Siemens business units.
------------------------------
From: [EMAIL PROTECTED] (Galen Wilkerson)
Subject: JOB : Looking for CV engineer/intern/PhD student position
I am currently looking for a position as an intern or engineer or PhD
student in computer vision algorithm research. I have recently
graduated from the University of Maryland in Computer Science, but I
also have quite a lot of experience in research laboratories. I am
happy to send you my CV upon request. Note that I speak French and
German fluently, so this should not be a problem. Please feel free to
forward this message to your colleagues.
------------------------------
From: "Gorodnichy, Dmitry" <[EMAIL PROTECTED]>
Subject: CFP : Face Processing in Video - Wash DC - Jan 17 2004
Call for Papers
First IEEE Workshop on Face Processing in Video (FPIV'04)
in conjunction with
IEEE International Conference on Computer Vision and Pattern Recognition
(CVPR'04)
Washington, D.C.
June 26- June 27, 2004
Conference web-site: http://www.visioninterface.net/fpiv04
AIMS AND SCOPE
Face processing is an area of research dedicated to the extraction and
manipulation of information about human faces. It deals with such
problems as face detection, tracking, recognition, coding, etc. as well
as their applications.
Video is becoming ubiquitous and very affordable, and there is growing
demand on vision-based human-oriented applications, ranging from
security and industry for disabled to computer-human interaction and
video annotation. Therefore, more and more research effort is being put
on face processing in video, which is very different from face
processing in still imaginary in terms of the nature of data processed.
On one hand, because of real-time, bandwidth and environmental
constraints, video images are of rather modest resolution and quality,
as compared to photo-images. On the other hand, such a seeming
deficiency of video is compensated by the abundance of images due to the
dynamic nature of video. Video processing and understanding also has
many parallels with biological vision, which provides additional
insights and solutions to the problem.
Therefore, it is important to develop approaches other than those
developed for still imagery which would make use of the advantages of
video for face processing. With this goal in mind, the FPIV'04 workshop
is aimed at providing a forum for scientists from different backgrounds:
biological vision, computer vision, pattern recognition, machine
learning, HCI, etc. - to share their experiences and discuss the
problems, solutions and applications of Face Processing in Video.
The workshop will consist of one day of oral presentations and a talk
from an invited speaker on a synergy of biological and computer vision.
Paper submission
Although any paper analyzing video for the presence of information about
faces may be submitted, the preference will be given to those papers
which clearly indicate in the abstract a) the research areas of the
paper and b) what the paper contributions are. Application-oriented
papers are as much welcome as theoretical papers.
The suggested research areas are listed below, but other topics dealing
with the face in video scenario are welcome.
neurobiological and neurocomputational approaches to visual
perception and recognition
synergy between biological and computer vision
face segmentation and detection in video
face tracking and multiple faces tracking
face memorization, classification recognition from video
face biometrics and face modeling, 3d face models
facial features for tracking and recognition
face representation, canonical face models, face in video
databases
face synthesis and mimicking
facial expression recognition and classification, and
representation
fusing different modalities of video information (motion,
colour, intensity)
performance evaluation for face in video problems
face detection/tracking/recognition in multicamera setups
including stereo
face detection/tracking/recognition in panoramic video
combining video and audio for speaker face
detection/tracking/recognition
face-based multi-media, games, and computer-human interaction
perceptual face-controlled interfaces
face processing for video-conferencing
face processing for avatars and computer-generated communication
programs
face processing for immersive and collaborative environments
face processing for industry for disabled
face processing for augmented and virtualized reality
face processing for security and surveillance
face processing for encoding and annotating video
Papers should not exceed 6 double-column pages. Only original
manuscripts will be considered. Dual submission with CVPR is not
permitted. Instead, if a relevant paper on object tracking, recognition
etc has been submitted to CVPR, a related, but focused on the face as of
an object of interest and video as of a media can be submitted to the
workshop. This policy is intended to encourage participation from
authors whose papers are accepted in CVPR as well as those that are not.
Reviewing will be blind circular. By submitting a paper, each author
agrees to review at least 3 other submissions. This procedure has
produced quality, useful reviews in previous CVPR workshops. As
reviewers, authors must comply with the reviewing schedule below. In
addition, each paper will be reviewed by the program committee. Given
the exploratory nature of the workshop, reviews will emphasize the
novelty of the ideas and clarity of presentation.
The paper must not include any information that would indicate the
author's identity (references to authors' previous work should be left
blank). Papers must be submitted in the same format as for CVPR and
submitted as pdf files, by emailing to the Program Chair. In an email
accompanying the paper, authors should supply
1) the title of the paper
2) keywords relating to the paper,
3) the names and affiliations of the authors
4) (!) areas of expertise of the authors (for circular reviewing), and
5) the name of the contact author
IMPORTANT DATES:
Full Paper Submission : January 17, 2004
Papers Distributed for Review: January 20, 2004
Reviews due: February 25, 2004
Notification to acceptance : March 2, 2004
camera ready copy: April 4, 2004
PROGRAM ORGANIZER:
Dmitry O. Gorodnichy, NRC-CNRC, Canada
Email: fpiv04 AT visioninterface.net (dmitry.gorodnichy AT nrc-cnrc.gc.ca)
PROGRAM COMITTEE:
Bernhard Fröba, Fraunhofer-Institut, Germany
Laurent Itti, U. of Southern California, USA
Takeo Kanade, CMU, USA
Josef Kittler, University of Surrey, UK
Ernst Kussul, U. Nacional Autonoma de Mexico, Mexico
Stan Z. Li, Microsoft Research, China
Michael J. Lyons, ATR Media Information Science Labs, Japan
Marc Parizeau, U. Laval, Canada
Maximilian Riesenhuber, Georgetown U., USA
Gerhard Roth, NRC-CNRC, Canada
Chris Solomon, University of Kent at Canterbury, UK
Jean-Christophe Terrillon, Softopia Japan Foundation, Japan
Matthew Turk, UCSB, USA
Lijun Yin, Binghamton University, USA
------------------------------
From: Simone Marinai <[EMAIL PROTECTED]>
Subject: CFP : 6th IAPR Int WS Document Analysis - Italy - Feb 1 2004
DAS 2004
Sixth IAPR International Workshop on
Document Analysis Systems
September 8-10, 2004
Florence, Italy
http://www.dsi.unifi.it/DAS04
Proceedings will be published by Springer Verlag in LNCS series
OVERVIEW:
We are pleased to announce that the Sixth International Workshop on
Document Analysis Systems will be held in Florence, Italy. DAS04
will build on the tradition of past workshops held in Kaiserslautern,
Germany (1994), Malvern, PA (1996), Nagano, Japan (1998), Rio de
Janeiro, Brazil (2000), and Princeton, NJ (2002).
TECHNICAL FOCUS:
We invite contributions describing current research in the following areas:
Descriptions of complete, working DIA systems.
Studies of system architectures.
Links between document image analysis and digital libraries.
Algorithms for Layout Analysis.
Methods for table and form analysis.
Document image processing for the Internet.
Document Analysis and Understanding Web Services.
Document Image Retrieval systems.
Information Extraction from documents.
Learning and classification methodologies for DIA systems.
Applications to text, graphics, maps, music, etc.
Authoring, editing, presentation, and collaboration systems
for complex multimedia documents.
Enterprise applications: intranet and workflow management.
Document reformatting for multimodal mobile access.
Application of multimodal Information Retrieval to document collections.
Methods of performance evaluation.
WORKSHOP FORMAT:
This is a 100% participation workshop (every attendee will give a
presentation) organized into single track sessions. To encourage an
active participation of everyone the posters will be introduced by
short oral presentations. To prepare the working group discussion
each participant will list some relevant topics when registering to
the workshop. At least one session will be reserved to presentations
that have a significant demonstration component. These will receive
extra time and are expected to include an overview talk followed by a
live demo of the system in question. The proceedings will be
published by Springer-Verlag in the LNCS series and distributed at
the workshop.
DAS & DL:
Several DIA systems exist and can potentially be applied to Digital
Libraries. However, as yet there is no widely accepted understanding
of what are the results that can be achieved on real documents
belonging to DLs. To stimulate such comparison we identified a large
collection of documents freely downloadable from Internet DLs (more
than 5000 digitized pages). References to these documents have been
put in the DAS&DL page of the Workshop web site. Interested
participants can test their systems on these data, submit papers
specifically addressing this "game", and show their results in one
demo session. In contrast with other contests the task to be
performed is not fixed. Participants can freely demonstrate their
systems (even if not designed for DL applications) with these data.
PAPER SUBMISSION:
Original and unpublished contributions are solicited which include
regular papers and extended abstracts. Potential participants should
submit a paper describing their work in one of the areas described
above. Each regular paper must be accompanied by an abstract
summarizing the contribution it makes to the field. Maximum paper
length for regular papers is 12 pages in LNCS format. Extended
abstracts can have at most four pages. Authors must explicitly
indicate at the time of submission whether they would like their
paper considered for the demo presentation session. Submission of a
paper constitutes a commitment that, if accepted, one or more authors
will attend and participate in the workshop. Electronic submission
in camera-ready format is requested. The manuscript, complete with
illustrations and abstract, must be sent as a PDF file according to
instructions that will be posted on the web site.
IMPORTANT DATES:
Regular Papers (up to 12 pages in LNCS camera-ready format):
Submission February 1; Acceptance May 1.
Extended abstracts (up to 4 pages in LNCS camera-ready format):
Submission April 1; Acceptance May 1.
Final camera-ready papers due: June 1, 2004.
VENUE:
The workshop will take place at Villa "La Quiete alle Montalve", a
15th-Century building located in a quiet position on the outskirts of
Florence. The site can be reached with public bus and a short walk.
During the workshop a bus shuttle will connect the nearest bus stop
with the Villa.
WORKSHOP CO-CHAIRS:
Andreas Dengel (Germany)
Simone Marinai (Italy)
PROGRAM COMMITTEE:
Apostolos Antonacopoulos (UK)
Henry Baird (USA)
Francesca Cesarini (Italy)
David Doermann (USA)
Andrew Downton (UK)
Hiromichi Fujisawa (Japan)
Jianying Hu (USA)
Rolf Ingold (Switzerland)
Ramanujan Kashi (USA)
Koichi Kise (Japan)
Daniel Lopresti (USA)
Donato Malerba (Italy)
Udo Miletzki (Germany)
Yusuaki Nakano (Japan)
Lambert Schomaker (The Netherlands)
Giovanni Soda (Italy)
Larry Spitz (New Zealand)
Karl Tombre (France)
Luc Vincent (USA)
Marcell Worring (The Netherlands)
CONTACT: mailto:[EMAIL PROTECTED]
WORKSHOP WEBSITE: http://www.dsi.unifi.it/DAS04
------------------------------
From: Daniel ALEXANDER <[EMAIL PROTECTED]>
Subject: CFP : Spatiotemporal IP - BMVA, London UK - Jan 10 2004
British Machine Vision Association and Society for Pattern Recognition
Spatiotemporal Image Processing
One Day BMVA symposium at the Royal Statistical
Society , 12 Errol Street, London, UK on March 24th 2004.
http://www.bmva.ac.uk/meetings
Chairs: Dr. Adrian Hilton and Prof. Mark Nixon
CALL FOR PAPERS
There is currently much research in the analysis of moving objects in
sequences of images with application domains that include cinema,
medicine, sport and biometrics. In order to provide a discussion
forum for researchers and users of these new technologies, we welcome
submissions that will present new technique for analysing sequences
of images as well as submissions which concentrate on new application
areas. We welcome research investigating novel representations and
analysis of non-rigid scenes from both single and multiple view image
sequences. Equally, submissions that focus on low level feature
extraction, as well as those which focus on higher level shape
analysis or content description are well within the scope of this
meeting. Demonstrative working systems will be of especial interest
to those seeking to apply these new techniques. The meeting will
include an invited talk by Prof. Andrew Blake. Those interested in
presenting their work should email a 2 A4 page pdf mini-paper to Dr.
Adrian Hilton ( mailto:[EMAIL PROTECTED] ) by 10 January 2004.
------------------------------
From: Ajith Abraham <[EMAIL PROTECTED]>
Subject: CFP : 4th Int Conf on Intell Sys - Budapest, Hungary - Feb 1 2004
ISDA'04: Fourth International Conference on Intelligent Systems Design
and Applications
(26-28) August 2004, Budapest, Hungary
Conference URL: http://isda04.softcomputing.net/
Technical Sponsors:
IEEE - Systems, Man and Cybernetics
International Fuzzy Systems Association, IFSA
Budapest Polytechnic
Hungarian Fuzzy Association
IEEE Chapter of SMC, Hungary
IEEE R8
Springer Verlag, Germany
University of Veszprem
World Federation of Soft Computing (WFSC)
Intelligent Systems Design and Applications (ISDA 2004) is the fourth
International conference that brings together international soft
computing, artificial intelligence, computational intelligence
researchers, developers, practitioners and users. The aim of ISDA 2004
is to serve as a forum to present current and future work as well as to
exchange research ideas in this field.
ISDA'04 invites authors to submit their original and unpublished work
that demonstrate current research in all areas of intelligent systems
and their applications in science, technology, business and commercial.
ISDA'04 will focus on the following themes:
* Applications in Bioinformatics
* Architectures of intelligent systems
* Image, Speech and signal processing
* Internet modeling
* Data mining
* Fuzzy modeling and control
* Business and management applications
* Control and Automation
* Software agents
* Knowledge management
* Special topics
We invite you to submit a:
- full paper of 8 to 10 pages (Letter or A4 paper) for oral presentation
- proposal to organize a technical session and/or workshop.
Submitted papers have to be original, containing new and original
results. The proceedings of the Conference will be published by Springer
Verlag, Germany in the Advances in Soft Computing Series. Please follow
the authors guidelines given in the conference web page. Submission
implies the willingness of at least one of the authors to register and
present the paper. All full papers are to be submitted in PDF
electronically via the web site. All papers will be peer reviewed by at
least two independent referees of the international program committee of
ISDA'04.
Important Dates
Deadline for Workshop/tutorial Proposals : February 1, 2004
Deadline for Paper Submission (full paper) : April 1, 2004
Notification of Acceptance : May 10, 2004
Deadline for Camera Ready Papers/registration : June 10, 2004
ISDA'04 Conference in Budapest : August 26 - 28, 2004
Conference Organization
Honorary Chair
Yasuhiko Dote, Muroran Institute of Technology, Japan
Honorary Committee
Anthony C. Davies, IEEE R8 Director
Enrique H. Ruspini, IEEE Div. X Director
William Gruber, IEEE SMC President
Z. Zenn Bien, IFSA President
Zoltan Gaal, Rector of Veszprem University, Hungary
General Chair
Imre Rudas, Budapest Polytechnic, Hungary
Program Chairs
Janos Abonyi, Univ. of Veszprem, Hungary
Ajith Abraham, Oklahoma State University, USA
Steering Committee
Ajith Abraham, Oklahoma State University, USA
Antony Satyadas, IBM Corporation, Cambridge, USA
Etienne Kerre, Ghent University, Belgium
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Lakhmi Jain, University of South Australia, Australia
P. Saratchandran, Nanyang Technological University, Singapore
Track Chairs
Applications in Bioinformatics:
Olaf Wolkenhauer,University of Rostock, Germany
Architectures of intelligent systems:
Clarence W. de Silva, University of British Columbia, Canada
Business and management applications:
Andrew Flitman, Monash University, Australia
Computational Web Intelligence:
Yanqing Zhang, Georgia State University, Georgia
Control and automation:
P. Saratchandran, Nanyang Technological University, Singapore
Data mining:
Kate Smith, Monash University, Australia
Evolutionary Computation
Halina Kwasnicka, Wroclaw University of Technology, Poland
Fuzzy modeling and control:
Robert Babuska, TU Delft, The Netherlands
Image, speech and signal processing:
Emma Regentova, University of Nevada, Las Vegas, USA
Industrial Applications:
Hans Roubos, DSM Food Specialities/R&D
Information Security:
Andrew Sung, New Mexico Institute of Mining and Technology, USA
Knowledge management:
Xiao Zhi Gao, Helsinki University of Technology, Finland
Software agents:
Marcin Paprzycki, Oklahoma State University, USA
Special Sessions Chair
Xiao Zhi Gao, Georgia State University, Georgia
Publication Chair
Mario Koeppen, Fraunhofer IPK Berlin, Germany
Secretary General
Aniko Szakal, Budapest Polytechnic, Hungary
Local Organizing Committee
Attila L. Bencsik, Budapest Polytechnic, Hungary
Ferenc Szeifert, University of Veszprem, Hungary
Gabriella Kun, University of Veszprem, Hungary
Jozsef K. Tar, Budapest Polytechnic, Hungary
Lajos Nagy, University of Veszprem, Hungary
Sandor Nemeth, University of Veszprem, Hungary
Tibor Chovan, University of Veszprem, Hungary
Publicity Chair
Djamila Ouelhadj, University of Nottingham, UK
Web Chair
Andy AuYeung, Oklahoma State University, USA
International Technical Committee
Andreas Nrnberger, University of Magdeburg, Germany
Andrew Sung, New Mexico Institute of Mining and Technology, USA
Andri Riid, Department of Computer Control, Tallinn Technical University
Annamaria R. Varkonyi-Koczy, BUTE, Hungary
Antonio Dourado, University of Coimbra, Portugal
Balazs Feil, University of Veszprem
Bogdan Gabrys, Bournemouth University, UK
Carlos A. Coello Coello, Laboratorio Nacional de Informática Avanzada,
Mexico
Costa Branco P J, Instituto Superior Technico, Portugal
Djamila Ouelhadj, University of Nottingham, UK
Domonkos Tikk, BUTE, Hungary
Douglas Leith, Hamilton Institute
Francisco Herrera, University of Granada, Spain
Frank Hoffmann, Royal Institute of Technology, Sweden
Frank Klawonn, University of Applied Sciences Braunschweig, Germany
Gabriella Pasi, ITIM - Consiglio Nazionale delle Ricerche, Italy
Gary Yen, Oklahoma State University, USA
Halina Kwasnicka, Wroclaw University of Technology, Poland
Irina Perfilieva, University of Ostrava, Czech Republic
Istvan Jonyer, Oklahoma State University, USA
Janos Fodor, Szent Istvan University, Hungary
Janos Madar, University of Veszprem
Jiming Liu, Hong Kong Baptist University, Hong Kong
José Manuel Benítez, University of Granada, Spain
Jose Mira, UNED, Spain
Jozsef Dombi, University of Szeged
Julies Adams, IEEE SMC
Kalyanmoy Deb, Indian Institute of Technology, India
Kate Smith, Monash University, Australia
Katrin Franke , Fraunhofer IPK-Berlin, Germany
Lakhmi Jain, University of South Australia, Australia
Laszlo T. Koczy, BUTE, Hungary
Luis Magdalena, Universidad Politecnica de Madrid, Spain
Marcin Paprzycki, Oklahoma State University, USA
Mario Köppen, Fraunhofer IPK-Berlin, Germany
Marley Vellasco, PUC-RJ, Brazil
Matjaz Gams, Jozef Stefan Institute, Slovenia
Miguel Ayala Botto, Lisabon
Mo Jamshidi, University of New Mexico
Nikos Lagaros, National Technical University of Athens, Greece
Ninan Sajith Philip, St. Thomas College, India
Olgierd Unold, Wroclaw University of Technology, Poland
Peter Baranyi, BUTE, Hungary
Raj Dasgupta, University of Nebraska, USA
Rajkumar Roy, Cranfield University, UK
Robert Fuller, ELTE, Hungary
Robert John, De Montfort University, UK
Ronald Yager, Iona College, USA
Sambandham. M, Morehouse College, USA
Shunichi Amari, RIKEN Brain Science Institute, Japan
Suliman Hawamdeh, University of Oklahoma, USA
Sung Bae Cho, Yonsei University, Korea
Szilveszter Kovacs, Miskolc University, Hungary
Thomas Bäck, NuTech Solutions GmbH, Germany
Tom Gedeon, Murdoch University, Australia
Vasile Palade, Oxford University, UK
Violetta Galant, Wroclaw University of Economics, Poland
Wilfried Elmenreich, TU Vienna, Austria
William B. Langdon, University College London, UK
Witold Pedrycz, University of Alberta, Canada
Xiao Zhi Gao, Helsinki University of Technology, Finland
Yanqing Zhang, Georgia State University, USA
For further information please contact:
Janos Abonyi, Ph.D. Process Engineering Department University of
Veszprem, POB. 158, H-8200, Veszprem, Hungary
Email: [EMAIL PROTECTED]
Ajith Abraham, Ph.D. Computer Science Department Oklahoma State
University 700 N Greenwood Avenue Tulsa, OK 74106, USA
Tel : +1-918-5948188 Fax: +1-918-5948281 eFax: +1 (509) 691-2851
Email: [EMAIL PROTECTED]
------------------------------
End of VISION-LIST digest 22.20
************************
| <-- __Chronological__ --> | <-- __Thread__ --> |
