VISION-LIST digest 24.10

VISION-LIST Digest Mon Oct 24 17:28:35 PST 2005 Volume 24 : Issue 10

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Today's Topics:

Q&A : Video ground truth with heads, hands, etc
Q&A : Multiview and Omnidirectional Video Dance Database
Q&A : Henk Heijmans Solidarity Fund
Q&A : ImageCLEF 2005
JOB : Senior DSP/Video Processing Engineer - ObjectVideo - Reston, VA
JOB : Video Developer - ObjectVideo - Reston, VA
JOB : Video Scientist - ObjectVideo - Reston, VA
JOB : Asst Prof - CIMS, Univ Alberta - Edmunton Canada
JOB : Research Scientists - Siemens - Princeton US, Erlangen Germany
JOB : Post docs - CIMS, Univ Alberta - Edmonton, Canada
JOB : Postdocs - Oregon State Univ - Corvallis, OR
JOB : Postdoc - Univ of Windsor - Windsor, Canada
JOB : Postdoc position - LSIIT, Univ of Strasbourg - France
JOB : Postdoc position - Univ of Penn - PA
JOB : RA - Heriot Watt Univ - Edinburgh UK
JOB : PhD studentship - Imperial College -
JOB : Three PhD studentships - Univ of Bonn - Bonn Germany
CFP : 8th Intl Conf on set mark AI and SC - Poland - 19Nov05
CFP : J IAPR WS S+SSPR 2006 - China - 31Jan06

----------------------------------------------------------------------

From: Bob Fisher <rbf@xxxxxxxxxxxx>
Subject: Q&A : Video ground truth with heads, hands, etc

The CAVIAR team has extended the ground truth labelling (CVML) of some
of the CAVIAR project video sequences to include annotations for the
head, gaze direction, hands, feet and shoulder positions.

You can see an example and more details at:
http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/

The main project page is at:
http://homepages.inf.ed.ac.uk/rbf/CAVIAR/

Best wishes, Bob

------------------------------

From: "Nahum Kiryati" <nk@xxxxxxxxxxxxx>
Subject: Q&A : Multiview and Omnidirectional Video Dance Database

TAU-DANCE: Multiview and Omnidirectional Video Dance Database

TAU-DANCE: Tel-Aviv University Multiview and Omnidirectional Video Dance
Database has been created to promote scientific research in image and
video processing, computer vision, multimedia understanding and other
fields. It is potentially useful for research related to motion
analysis, video segmentation, multi-camera systems and omnidirectional
image analysis.

Detailed information about the database is available at
http://www.eng.tau.ac.il/~nk/TAU_DANCE_Guide.pdf

The database can be downloaded for non-commercial scientific use
from the following website:
http://muscle.prip.tuwien.ac.at/data_here.php

The support of the EU FP6 IST MUSCLE NoE is gratefully acknowledged.
Additional information about the MUSCLE network can be found at:
http://www.muscle-noe.org

Sincerely,
Prof. Nahum KIRYATI, School of Electrical Engineering
Tel Aviv University, Ramat Aviv 69978 ISRAEL
http://www.eng.tau.ac.il/~nk

------------------------------

From: Jos Roerdink <j.b.t.m.roerdink@xxxxxx>
Subject: Q&A : Henk Heijmans Solidarity Fund

CALL FOR DONATIONS: HENK HEIJMANS SOLIDARITY FUND

In March 2004, Henk Heijmans suffered a stroke that seriously impaired
his language and reading capabilities, even to such an extent that he is
quite unable to continue working as a scientist. In addition to being a
tremendous personal tragedy for Henk, this situation will also lead to a
substantial decline in income for him and his family.

Henk has had an outstanding role in the development of image analysis
and mathematical morphology in the Netherlands and worldwide. He
contributed many key papers and several important books, co-organized
the 4th International Symposium on Mathematical Morphology, as well as
many other workshops, edited the Morphology Digest during 9 years, and
served in the editorial board of several outstanding journals and in the
program committee of many conferences.

Given the immense services he has rendered to the image analysis
community, we felt the need to express our solidarity with him and his
family. Therefore we are opening a fund to aid in financially supporting
Henk and his family. We kindly ask you to donate to the bank account
opened for it.

Here are the details of the account:
Account number: 4416832
Account name: J.B.T.M. Roerdink / D.G.C. Broekhuis
Name of bank: Postbank
IBAN: NL59PSTB0004416832
BIC: PSTBNL 21
Add note: Heijmans fund

Your contribution will be greatly appreciated.

Prof. dr. Jos Roerdink, Instiitute for Mathematics and Computing Science
University of Groningen, The Netherlands
Tel. +31-50-3633931, Fax +31-50-3633800
mailto:j.b.t.m.roerdink@xxxxxx

------------------------------

From: henning.mueller@xxxxxxxxxxxx
Subject: Q&A : ImageCLEF 2005

The working notes of CLEF (Cross-Language Evaluation Forum) are now
online including the working notes of the ImageCLEF benchmark for image
retrieval applications:
http://www.clef-campaign.org/2005/working_notes/CLEF2005WN-Contents.html

This year, an additional workshop was held on the evaluation of visual
information retrieval applications. The presentations as well as the
papers are equally online:

http://muscle.prip.tuwien.ac.at/ws_proceedings.php?PHPSESSID=8033fbada4e9c91d06
85b9d56065a72d

Please tell me if there are any further questions.
Kind regards, Henning
Henning Müller (PhD)
University & Hospitals of Geneva, Service of Medical Informatics
24, rue Micheli-du-Crest, CH-1211 Geneva 14, Switzerland
Tel +41 22 372-6175, Fax +41 22 372-8680
mail:henning.mueller@xxxxxxxxxxxx

------------------------------

From: "Kalagher, Melissa" <MKalagher@xxxxxxxxxxxxxxx>
Subject: JOB : Senior DSP/Video Processing Engineer - ObjectVideo - Reston, VA

ObjectVideo is the leading developer of intelligent video security
software for physical security applications. We are currently conducting
a search for a Senior DSP/Video Processing Software Engineer to develop
DSP software for intelligent video surveillance solutions

Experience/Skills Required:=20
* A Bachelors degree in Computer Engineering, Computer Science, related field
or equivalent experience.
* 8+ years experience in DSP software development including experience in
a technical lead/project management role.=
* Must have solid experience porting algorithms from PC-based platforms to
DSP platforms.
* Solid experience in software engineering and product building using C++
and object-oriented design principles.
* Development experience in MS.NET (C#).
* Familiarity with Java, GUI design, Matlab and/or image processing is
preferred.
* Experience with one of more of the following processors is preferred:
PowerPC,
AD Blackfin, Equator MAPCA, TI DM642.
* Experience in image and video processing, and statistical data analysis
is desired.
Interested candidates should send their resume to
mailto:careers@xxxxxxxxxxxxxxx .

ABOUT OBJECTVIDEO:
ObjectVideo develops intelligent video security software to solve
today's complex security challenges. Its computer vision technology
adds automated threat detection, identification and notification
capabilities to surveillance systems to significantly reduce false
alarm rates and markedly increase the effectiveness of security
professionals. Founded in 1998 and headquartered in Reston, Virginia,
ObjectVideo works with government and commercial organizations.

------------------------------

From: "Kalagher, Melissa" <MKalagher@xxxxxxxxxxxxxxx>
Subject: JOB : Video Developer - ObjectVideo - Reston, VA

ObjectVideo is a state-of-the-art computer vision company, specializing
in the development of intelligent, automated, video surveillance
systems. We are currently looking for a Video Developer to design,
develop, and deliver video analysis software for automated video
surveillance products. This position requires an M.S. in Computer
Engineering or Computer Science and 3+ years experience in image
processing, real-time computer vision software development, and
statistical data analysis. The successful candidate will have a strong
understanding of state-of-the-art computer vision research preferably in
the area of automated video surveillance techniques and applications.
Solid experience in software engineering and product building using
object-oriented design principles using C++ also required. Familiarity
with MS .NET platform (C#) and Matlab is preferred.

Forward resume with salary requirements to: HR, ObjectVideo, 11600
Sunrise Valley Drive, Suite 290, Reston, VA 20191, or email to
mailto:careers@xxxxxxxxxxxxxxx

------------------------------

From: "Kalagher, Melissa" <MKalagher@xxxxxxxxxxxxxxx>
Subject: JOB : Video Scientist - ObjectVideo - Reston, VA

ObjectVideo is a state-of-the-art computer vision company specializing
in software and hardware solutions for intelligent video surveillance
software applications.

We are currently looking for a Video Scientist to design, develop, and
deliver video analysis software for automated video surveillance
systems. Requires a Ph.D. in Computer Engineering or Computer Science
and 3+ years experience in image processing, real-time computer vision
software development, and statistical data analysis. Current knowledge
of research literature in Computer Vision with a history of publication
in the field is also required. The successful candidate will have a
strong understanding of state-of-the-art computer vision research
preferably in the area of automated video surveillance techniques and
applications. Experience in scientific analysis using Matlab analysis
tools and experience in software engineering and product building using
object-oriented design principles using C++ are also required.
Familiarity with Windows' .net platform (C#/C++/MS DevStudio.net) is
preferred.

Forward resume with salary requirements to: HR, ObjectVideo, 11600
Sunrise Valley Drive, Suite 290, Reston, VA 20191, or email to
mailto:careers@xxxxxxxxxxxxxxx

------------------------------

From: mcalvert@xxxxxxxxxxxxxx
Subject: JOB : Asst Prof - CIMS, Univ Alberta - Edmunton Canada

Hong Zhang, Director
CIMS, University of Alberta
c/o Melanie Calvert

The Department of Computing Science at the University of Alberta is
seeking a qualified individual to fill a position at the level of
assistant professor in the areas of image/signal processing and
algorithm design. This is a soft-funded tenure-track position. The
initial appointment will be for three years, and continuation is subject
to availability of funding. This position is in support of a major
research initiative, funded by the federal and provincial governments
and industrial partners, on developing intelligent sensing technologies
for monitoring oil sand mining operations (see
http://www.cs.ualberta.ca/~cims ).

Candidates should have a Ph.D. in Computing Science or Electrical
Engineering, with specialization in image and signal processing or
computer vision. Preference will be given to applicants with knowledge
and experience in adaptive image/signal processing, stochastic and
multi-scale techniques for image modeling and analysis, and sensor
fusion (intensity/range) algorithms. The candidate is expected to
establish their own research program, develop novel solutions to
practical industrial problems, supervise graduate students, and teach at
both the graduate and undergraduate level. The Department highly values
curiosity-driven research.

The Department is well known for its collegial atmosphere, dynamic and
well-funded research environment, and superb teaching infrastructure.
Its faculty are internationally recognized in many areas of computing
science, and enjoy collaborative research partnerships with local,
national, and international industries. The University of Alberta,
located in the provincial capital of Edmonton, is one of Canada's
largest and finest teaching and research institutions, with a strong
commitment to undergraduate teaching, community involvement, and
research excellence. As a population center of 1,000,000, Edmonton
offers a high-quality, affordable lifestyle that includes a wide range
of cultural events and activities, in a natural setting close to the
Canadian Rockies. Alberta's innovative funding initiatives for
supporting and sustaining leading-edge IT research have attracted
world-class researchers and outstanding graduate students to our
department and to the campus. Further information about the Department
and University can be found at http://www.cs.ualberta.ca .

The competition will remain open until a suitable candidate is found.
Candidates should submit a curriculum vitae, a one-page summary of
research plans, a statement of teaching interests and reprints of their
three most significant publications electronically to
mailto:everitt@xxxxxxxxxxxxxx or by mail to:
Iris Everitt, Administrative Assistant
Department of Computing Science, University of Alberta
Edmonton, Alberta, Canada T6G 2E8

All qualified candidates are encouraged to apply; however, Canadian
citizens and permanent residents will be given priority. If suitable
Canadian citizens or permanent residents cannot be found, other
individuals will be considered. The University of Alberta hires on the
basis of merit. We are committed to the principle of equity in
employment. We welcome diversity and encourage applications from all
qualified women and men, including persons with disabilities, members of
visible minorities, and Aboriginal persons.

------------------------------

From: "Comaniciu, Dorin" <dorin.comaniciu@xxxxxxxxxxx>
Subject: JOB : Research Scientists - Siemens - Princeton US, Erlangen Germany

The Integrated Data Systems Department of Siemens Corporate Research,
Princeton, NJ, has immediate openings for Research Scientists in the
areas of computer vision and medical imaging, statistical analysis and
estimation, 3D/4D segmentation, tracking and information fusion, pattern
recognition, graphical models, and applied machine learning.

In this position you will be conducting leading-edge research and
prototyping for medical and industrial applications.

We will only consider candidates holding a Ph.D. in CS, EE or related
fields with a strong, proven record in problem solving and research
(leading journal and conference publications).

Candidates should have C/C++ or Java proficiency on MS Windows platform.
Candidates need to demonstrate strong interpersonal skills, be able to
work independently on problems, be an effective team player and be
willing to accept challenges and responsibility.

Please forward your resume to mailto:Dorin.Comaniciu@xxxxxxxxxxx .

Positions are located in Princeton, NJ and Erlangen, Germany.

Siemens Corporate Research is a leading industrial research center that
offers a stimulating research environment and a rewarding career. We
offer competitive salary and benefits package that reflect our
leadership status. Siemens Corporate Research's state-of-the-art
thinking is powerfully linked to the corporate strength of Siemens
operating companies. With over 25 years of research experience, we
provide innovations and technical solutions that will shape and enhance
the future of technology around the world.

Siemens is an Equal Opportunity Employer encouraging diversity in the
workplace.

------------------------------

From: Hong Zhang <zhang@xxxxxxxxxxxxxx>
Subject: JOB : Post docs - CIMS, Univ Alberta - Edmonton, Canada

Hong Zhang, Director
CIMS, University of Alberta

The Centre for Intelligent Mining Systems (CIMS) in the Department of
Computing Science at the University of Alberta, Edmonton, Canada, is
seeking qualified individuals to fill one or more post-doctoral position
to conduct research in the areas of image processing and algorithm
design. The post-doctoral fellowship will have an intial term of
one-year, and is renewable for the second year. The post-doc researcher
will be a part of an NSERC Industrial Research Chair Program, funded by
the federal and provincial governments, and industrial partners, on
developing intelligent sensing technologies for monitoring oil sand
mining operations (see www.cs.ualberta.ca/~cims). Candidates should have
a Ph.D. in CS or EE, with specialization in image processing or computer
vision. Previous experience with Matlab and OpenCV, and strong
programming skills in C/C++ in a Linux/Unix environment are highly
desirable. Interested individuals can submit their resumes to Ms.
Melanie Calvert, CIMS Administrative Assistant, at
mailto:mcalvert@xxxxxxxxxxxxxx .

------------------------------

From: "Thomas G. Dietterich" <tgd@xxxxxxxxxxxxxxxxxxxx>
Subject: JOB : Postdocs - Oregon State Univ - Corvallis, OR

Oregon State University
School of Electrical Engineering and Computer Science

One or more Research Associate positions in the Machine Learning,
Computer Graphics, and Computer Vision groups starting January 2006.
Required qualifications include a Ph.D. in computer science or related
field.; strong mathematical background; experience with at least 3 of
the following: (a) knowledge representation frameworks (logical and
probabilistic), (b) reasoning methods (logical and probabilistic), (c)
experimental machine learning research, (d) planning and reasoning
algorithms, (e) virtual environments for training, (f) computer vision
for object recognition and tracking, (g) augmented reality; excellent
written and spoken communication skills; excellent programming and
software engineering skills; excitement about computer science research;
and the ability to manage graduate and undergraduate students working on
research projects

Position is full-time, 12 month, fixed term with reappointment at the
discretion of the hiring official. For full consideration, applications
must be received by 11/15/05. Send resume, letter of interest, evidence
of 2 relevant publications and 3 professional references w/address,
phone # to: Research Associate Search, 1148 Kelly Engineering Center,
Corvallis, OR 97331-5501. For full position announcement see:
http://oregonstate.edu/jobs , other inquires contact Thomas G. Dietterich
( mailto:tgd@xxxxxxxxxxx ). OSU is an AA/EOE.

------------------------------

From: jwu@xxxxxxxxxxx
Subject: JOB : Postdoc - Univ of Windsor - Windsor, Canada

The Intelligent Sensor Systems laboratory is looking for a highly
motivated individual with an existing or soon-expected Ph.D. in the
domain of computer vision, image processing, pattern recognition, and/or
sensor systems for a post doctoral position. The position is for one
year, extensible to another two. Interested candidates should Contact
Dr. Wu, send a resume with a list of publications to
mailto:jwu@xxxxxxxxxxx

------------------------------

From: jalobeanu@xxxxxxxxxxxxxxxxxx
Subject: JOB : Postdoc position - LSIIT, Univ of Strasbourg - France

SPACEFUSION: multisource data fusion for space imaging

Immediate opening for a 1-year position. Application deadline: Nov 30
2005

Applications from outstanding candidates are invited for a fully funded
one-year postdoctoral position, in the PASEO research group (
http://lsiit-miv.u-strasbg.fr/paseo ) within the MIV team, LSIIT
laboratory @ ENSPS, Strasbourg, France. The main research topic is
multisource data fusion applied to space imaging, within the SPACEFUSION
project funded by the French Research Agency (ANR).

Applicants should have at least a PhD in engineering, applied
mathematics, statistics (possibly astronomy, astrophysics, remote
sensing or another related subject). A strong background in image
processing, probability theory and/or statistics is required. A keen
interest in computer vision (e.g. 3D reconstruction, rendering) and
space sciences (astronomy, remote sensing) would be a big plus. A
self-starter and "outside the box" thinker would be most welcome.
Indeed, the postdoc fellow will play an important role in a starting,
exciting project.

The salary will be about 2000 EUR (before income taxes) per month,
including healthcare, for one year.

GENERAL FRAMEWORK

The wealth of data in Earth and space imaging and the number of spectral
bands have been steadily increasing over the last years. Consequently,
the information redundancy and dimensionality have reached a very high
level. This is usually not, or very little, taken into account in image
processing. The multiplicity of observations, their complexity and
inhomogeneity make their interpretation particularly difficult. One of
the first objectives of this project is to extract the useful
information from these data to enhance their representation, thus
allowing for an easier and more accurate analysis. The experience and
the complementarity of the working group will open the way to a clear
progress in multisource information fusion over the next three years.
This progress will be illustrated by effective results from real image
databases, which will be validated by experts in both astronomy and
remote sensing.

RESEARCH TOPICS

To address the redundancy problem, we propose to develop and apply new
data fusion and reconstruction methods. The originality of the project
lies in considering data fusion as the estimation of a single model, of
arbitrary spatial and spectral resolutions. The model is to be inferred
from a number of inhomogeneous observations, possibly from different
sensors under various conditions. It is all about reconstructing a
geometric and radiometric object that best relates to the observations
and integrates all the useful information contained in the initial data.

More information:
http://lsiit-miv.u-strasbg.fr/paseo/jobopp.php#contract

Application Guidelines:
To apply, please send us the following documents:
- a statement of research interests,
- an up-to-date resume, including a publication list,
- at least one reference letter.
A preliminary selection will be made from these documents, and the
final selection will be based on interviews.

Contact:
Andre Jalobeanu
PASEO Research Group @ LSIIT (UMR 7005 CNRS-ULP)
ENSPS - Parc d'Innovation, Bd S=E9bastien Brant BP 10413
67412 ILLKIRCH Cedex - FRANCE
T=E9l. +33 (0)3 90 24 44 94 Fax. +33 (0)3 90 24 44 55
http://lsiit-miv.u-strasbg.fr/paseo/jalobeanu.php

------------------------------

From: "Shen, Dinggang" <Dinggang.Shen@xxxxxxxxxxxxxx>
Subject: JOB : Postdoc position - Univ of Penn - PA

A postdoctoral position is available in the Section for Biomedical Image
Analysis (SBIA), University of Pennsylvania http://www.rad.upenn.edu/sbia/ .
The successful candidate should have a strong background on Electrical or
Biomedical Engineering, or Computer Science, preferably with emphasis on
image processing and analysis, or computer vision. Experience on medical
image registration and analysis is highly desirable.

The successful candidate will be part of a diverse group including
engineers, radiologists, psychologists, physicists, and computer
scientists, and will build upon the group's previous work on medical
image analysis. The research topic will be the development and
validation of four dimensional (three spatial dimensions + one temporal
dimension) image registration and analysis, for longitudinal brain
study, breast cancer diagnosis, cardiac structural and functional
analysis, and others.

If interested, please email resume to Dr. Dinggang Shen
( mailto:Dinggang.Shen@xxxxxxxxxxxxxx ).

------------------------------

From: "Trucco, Emanuele " <E.Trucco@xxxxxxxx>
Subject: JOB : RA - Heriot Watt Univ - Edinburgh UK

Research Associate in Computer Vision (Ref 143/05/J)

Vision, Image and Signal Processing Group
School of Engineering and Physical Sciences
Heriot Watt University, Edinburgh, UK

Salary: A321,156 - A322,289 Fixed term for 2 years
Closing date: 11 November 2005

EPSRC funded project on applications of computer vision and
photogrammetric techniques to the measurement of work in progress on
construction sites. In collaboration with the Salford Centre for
Research and Innovation (SCRI) and the Heriot-Watt School of the Built
Environment (Prof A Kaka).

The project aims to develop a highly innovative assessment technology
for the construction industry, specifically computer vision systems
capable of assessing the progress of work on construction sites, a job
currently performed by inspectors. Computer vision techniques are mature
enough to tackle the challenge, but significant advances are needed to
develop technology usable on real sites. Integration with 4-D, CAD-based
building planning tools is also part of the project, driven by a second
RA based in the School of the Built Environment.

You will have a good (2:1 or higher) degree in an applied numerate
discipline (e.g., computer science, electronic engineering), a solid
background in programming and applied mathematics, and demonstrable
experience of coding numerical algorithms. Experience or qualifications
in image processing and computer vision will be an advantage, especially
in 3-D model matching, recognition and classification, multi-view or
motion analysis.

You will be able to identify short and medium-term objectives in
collaboration with the principal investigators, and devise and implement
solution independently. You will have initiative and commitment, and be
prepared to interface with the second RA at HWU and with the other
project team at Salford for project steering and software integration.
You will have a firm interest in and commitment to scientific
achievement, including publications in prestigious conferences and
journals.

Principal investigator and informal contacts:
Dr Emanuele Trucco
Vision, Signal and Image Processing (VISP) group
Electrical, Electronic and Computer Engineering
School of Engineering and Physical Sciences
Heriot Watt University
Phone +44 131 451 3437
e.trucco@xxxxxxxx

* This job is being re-advertised.
* Previous applicants do not need to apply again.

For application details and forms please contact:
Human Resources Office, Heriot-Watt University
Edinburgh EH14 4AS
Phone 0131 451 3475 (24 hours)
Minicom 0131 451 8212
mailto:hr@xxxxxxxx

------------------------------

From: Andrew Davison <ajd@xxxxxxxxxxxx>
Subject: JOB : PhD studentship - Imperial College -

Imperial College London, Dept of Computing
PhD Studentship in Computer Vision

A PhD studentship is available within the Visual Information Processing
(VIP) Group of the Department of Computing. The position is for three
years, and covers fees and a tax-free bursary with London weighting.
Only UK and other European Union nationals are eligible to apply.

The studentship, under the supervision of Dr. Andrew Davison, is
associated with a project developing new techniques in real-time
Simultaneous Localisation and Mapping (SLAM) using computer vision. This
is technology with a wide range of applications including autonomous
robot navigation, wearable computing, augmented reality and interactive
entertainment. Applicants will need to have a good honours degree in
Computer Science, Engineering, Mathematics, Physics or other related
areas and be able to demonstrate a strong mathematical background. High
levels of interest and ability in computing and programming are also
desirable.

The Department of Computing at Imperial College was rated 5* at the last
RAE (research quality assessment), and has been placed among the top ten
departments worldwide by several academic surveys. There is extensive
expertise in all branches of computing, including distributed systems,
high-performance computing, software engineering, computer vision, and
biomedical image processing. Detailed information about the department
and its research areas can be found at http://www.doc.ic.ac.uk . Informal
queries can be directed to: mailto:ajd@xxxxxxxxxxxx .

Applicants should complete an application form, downloadable from
http://www.imperial.ac.uk/publications/pgapp/pg1_2004.pdf , including a
full CV plus names and addresses of three referees.

Please return completed application forms (clearly marked SLAM
studentship) to:
Duncan Sillato, Department of Computing
Imperial College, 180 Queen?s Gate, London SW7 2AZ UK

Closing Date: 31 October 2005

------------------------------

From: "Daniel Cremers" <dcremers@xxxxxxxxxxxxxx>
Subject: JOB : Three PhD studentships - Univ of Bonn - Bonn Germany

I would like to draw your attention to three Openings for PhD Positions
in Computer Vision at the University of Bonn, Germany. The University
of Bonn is among the top-ranked German universities in Mathematics and
Sciences. The positions are part of the newly founded Research Group
for Computer Vision, Image Processing and Pattern Recognition.

Further information can be found at:
http://www-cvpr.iai.uni-bonn.de/

Handicapped persons with comparable qualifications will be favoured.
The University Bonn explicitly encourages women to apply for the
positions. Consideration of applications will begin on the 24th of
October 2005 and will continue until the positions are filled.

I would appreciate if you could forward this announcement to prospective
candidates.

With best regards,
Daniel Cremers, Assoc Professor for Computer Vision,
Image Processing and Pattern Recognition
Department of Computer Science
University of Bonn, Germany

------------------------------

From: "ICAISC 2006" <icaisc_system_mail@xxxxxxxxxxxxxxxx>
Subject: CFP : 8th Intl Conf on set mark AI and SC - Poland - 19Nov05

Although we have received a great number of contributions, in response to
many requests from authors, we are pleased to inform that the deadline is
extended and now paper submissions will be accepted till
*** November 19, 2005 ***

The Eighth International Conference
Artificial Intelligence and Soft Computing
Zakopane, Poland, June 25-29, 2006
http://icaisc.pcz.pl/

organized by
the Polish Neural Networks Society
the Academy of Humanities and Economics in Lodz
in cooperation with
the Department of Computer Engineering at Czêstochowa University of
Technology
the IEEE Computational Intelligence Society

endorsed by
the International Neural Network Society (INNS)
the International Fuzzy Systems Association (IFSA)
the European Society for Fuzzy Logic and Technology (EUSFLAT)
the European Neural Network Society (ENNS)

The Eighth International Conference on Artificial Intelligence and Soft
Computing ICAISC 2006 will be held in Zakopane (situated in the High Tatra
mountains), Poland on 25-29 June, 2006. The conference will provide an
excellent opportunity for scientists and engineers to present and discuss
the latest scientific results and methods. The conference will include
keynote addresses, contributed papers, and numerous lectures and tutorials
on a wide range of topics.

The conference covers all topics in artificial intelligence and soft
computing techniques including but not limited to:

- Natural Language Processing
- Computer Vision
- Bioinformatics
- Robotics and Related Fields
- Expert Systems
- Multi-agent Systems
- Speech Understanding
- Knowledge Engineering
- Distributed Intelligent Processing
- Concurrent and Parallel Processing
- Intelligent Database Systems
- Supervised and Unsupervised Learning
- Neural Network Theory and Architectures
- Hardware Implementations
- Fuzzy Logic
- Fuzzy Optimisation
- Fuzzy Control
- Fuzzy Computing with Words
- Theory of Evolutionary Algorithms
- Evolutionary Design
- Evolutionary Scheduling and Optimisation
- Rough Sets Theory: Foundations and Applications
- Data Mining
- Artificial Intelligence in Scheduling and Optimization
- Artificial Intelligence in Modelling and Simulation
- Various Applications

Papers will be refereed by an international committee, and accepted on the
basis of their scientific merit and relevance to the conference topics.
After the notification of acceptance (January 20, 2006), authors will be
allowed to make a correction in accordance with the suggestions of the
reviewers and submit final camera-ready papers before February 20, 2006. The
conference proceedings will be published in the Springer-Verlag series
"Lecture Notes in Artificial Intelligence" and distributed among the
participants during the conference. Accepted papers must be presented by
author(s) personally to be published in the conference proceedings.

The only allowed format is Springer LNCS Latex style.

1. Submission of papers in accordance with Springer Lecture Notes in
Artificial Intelligence guidelines (6 pages max.) :
November 19, 2005 (new deadline)
2. Notification of acceptance:
January 20, 2006
3. Submission of camera-ready papers:
February 20, 2006
4. Conference date:
June 25-29, 2006

For detailed information, please see http://icaisc.pcz.pl/

------------------------------

From: ssspr06@xxxxxxxxx
Subject: CFP : J IAPR WS S+SSPR 2006 - China - 31Jan06

>>>>> FIRST ANNOUNCEMENT and CALL FOR PAPERS <<<<<

JOINT IAPR INTERNATIONAL WORKSHOPS ON
Structural and Syntactic Pattern Recognition (SSPR 2006)
and
Statistical Techniques in Pattern Recognition (SPR 2006)

August 17-19, 2006
Hong Kong University of Science and Technology, China

Web site: http://www.ssspr.org/2006/
Paper submission deadline: January 31, 2006

The International Association for Pattern Recognition (IAPR) and its
Technical Committees on Statistical Pattern Recognition (TC1) and
Structural and Syntactical Pattern Recognition (TC2) will organize the
next joint workshops at the Hong Kong University of Science and
Technology (HKUST) prior to ICPR 2006 which will also be held in Hong
Kong. The joint workshops aim at promoting interaction and
collaboration not only among researchers working directly in areas
covered by TC1 and TC2 but also among those in other fields who use
statistical, structural or syntactical techniques extensively. We
welcome mathematicians, statisticians, researchers in machine learning
and practitioners alike who, at present, work outside the pattern
recognition community.

SSPR Topics:
Structural matching; Syntactic pattern recognition; Image
understanding; Shape analysis; Graphical models; Graph-based
methods; Spectral methods for graph-based representations;
Probabilistic and stochastic structural models for PR;
Structural learning in spatial or spatio-temporal signals;
Kernel methods for structured data; Image and video analysis;
Intelligent sensing systems; Spatio-temporal pattern recognition;
SSPR methods in computer vision; Multimedia signal analysis;
Image document analysis; Structured text analysis and
understanding; Novel applications

SPR Topics:
Density estimation; Large margin classifiers; Kernel methods;
Ensemble methods and multiple classifiers; Bayesian methods;
Gaussian processes; Dimensionality reduction; Independent
component analysis; Cluster analysis and unsupervised learning;
Data visualization; Semi-supervised learning; Model selection;
Hybrid methods; Comparative studies; Speech and image analysis;
Novel applications

The workshops will comprise of invited talks, oral and poster
presentations, and panel discussions. In addition, the SSPR workshop
will have a special session called Graph Based Methods in Structural
Pattern Recognition co-organized by the Technical Committee on Graph
Based Representations (TC15). Accepted papers will appear in the
proceedings which will be published by Springer in the Lecture Notes
in Computer Science series (http://www.springeronline.com/lncs), and
will be distributed to all participants during the workshops.

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