VISION-LIST digest 28.5
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Today's Topics:
Q&A : New dataset with 5000 images for object recognition/categorization
Q&A : Daimler pedestrian detection benchmark
JOB : CV Scientist - Oculusai - Sweden
JOB : Postdocs - UNC - Chapel Hill, NC
JOB : Post-doc - Universit� de Caen Basse-Normandie - France
JOB : Research positions - AIIA lab - Greece
JOB : Postdoc - Wellesley/Harvard - Boston, MA
JOB : Research Fellow - Kingston Univ - London, UK
CFP : 2nd WS ML for Motion Analysis - Japan - 16JUN2009
CFP : IEEE Motion Video Computing WS - Snowbird, UT - 27JUL2009
CFP : SMIG Skin Cancer Image Analysis - 31JUL2009
CFP : CIMI2009 - Cyprus - 30JUN2009
CFP : 2nd WS 3D Physiological Human 2009 - Switzerland - 31JUL2009
CFP : Int Conf Soft Computing and PR - Malaysia - 26JUN2009
----------------------------------------------------------------------
From: Hossein Mobahi <hmob...@uiuc.edu>
Subject: Q&A : New dataset with 5000 images for object recognition/categorization
Hello,
This is to announce a new image dataset useful for evaluation of object
recognition or categorization methods. The "NEC Animal Dataset" consists
of about 5000 high quality images from 60 toy animals taken at different
poses against a plain background. The dataset can be freely downloaded
for research purposes at the following website:
http://ml.nec-labs.com/download/data/videoembed/
Regards, Mobahi
------------------------------
From: dariu....@daimler.com
Subject: Q&A : Daimler pedestrian detection benchmark
we are making a large image data set available, to allow
benchmarking of pedestrian (object) detection algorithms.
As part of our publication:
M. Enzweiler and D. M. Gavrila.
Monocular Pedestrian Detection: Survey and Experiments.
IEEE Trans. on Pattern Analysis and Machine Intelligence
(available online: IEEE Computer Society Digital Library,
http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260),
17 Oct. 2008.
The so-called Daimler benchmark
* involves a specified training and test set. The training
set contains 15.560 pedestrian and non-pedestrian samples
(image cut-outs) and 6744 additional full images not
containing pedestrians for bootstrapping. The test set
involves a sequence with more than 21.790 images with
56.492 pedestrian labels (fully visible or partially
occluded), captured from a vehicle during a 27 min drive
through urban traffic, at VGA resolution (640x480).
As such, the dataset is realistic and one order of magnitude
larger than other datasets at time of publication (8.5 Gb).
* specifies two evaluation settings: one generic (2D bounding box overlap criterion) and one specific to
pedestrian detection onboard a vehicle (3D localization
criterion, known ground plane and sensor coverage area
provide regions of interest, processing constraints).
* specifies performance metrics both at the frame- and
trajectory-level (the latter also allows benchmarking of
tracking algorithms).
* provides the baseline performance of three state-of-the-art
methods (wavelet-based AdaBoost cascade, HOG/linSVM and a
convolutional network NN/LRF) on the specified training
and test set.
* is "open": both training and test set are made (freely)
available for non-commercial purposes.
The Daimler pedestrian detection benchmark is available at:
http://www.science.uva.nl/research/isla/downloads/pedestrians/index.html
For more information on the pedestrian detection application, see
http://www.gavrila.net/Research/Pedestrian_Detection/pedestrian_detection.html
Feedback is welcome.
Prof. Dr. Dariu M. Gavrila, Environment Perception
Daimler Research & Development,
Wilhelm Runge St. 11, 89081 Ulm, Germany
mailto:dariu....@daimler.com
------------------------------
From: "Siamak Ayani" <sia...@oculusai.com>
Subject: JOB : CV Scientist - Oculusai - Sweden
OCULUSAI IS SEEKING A EXPERIENCED COMPUTER VISION SCIENTIST
Take the chance of joining one of the most exciting startups in the Nordics
OculusAI is a computer vision company sprung out of cutting edge academic
research within object recognition. Stockholm-based OculusAI offer websites
easy and efficient moderation of the huge and increasing amount of
user-generated content uploaded every day. OculusAI is a Red Herring top 100
company, winner of Venture Cup in Sweden and selected as one of the top 10
most promising start-ups in the Nordics.
OculusAI is now looking to strengthen its team with a highly skilled
Computer Vision Scientist. You will be an integral part of our management
team and will take an active role in shaping the company and the technology
on which we are based on.
JOB DESCRIPTION
In your role you will be expected to manage and lead our growing R&D team.
Candidates should have a creative mindset, be able to build quick prototypes
as well as production level code. You will also be expected to:
. Develop, implement, and test different solutions to a large set of
problems in computer vision including object detection/recognition and
image classification for image and video
. Work with our software engineers to integrate the algorithms into the
final product
YOUR SKILLS
. Ph.D. in Computer Science, Electrical Engineering, or related fields with
5 or more years of hands-on work or research experience
. You should have a very strong background in image processing and computer
vision gained in industry or research and experience from developing
systems and novel algorithms
. Track record of performing and leading original research in computer
vision and its applications.
. You will have strong mathematical ability in the fields of pattern
recognition and machine learning and excellent C/C++ and Matlab skills
. Excellent written and oral communication skills
WHAT WE OFFER
We offer a chance to join a dynamic team of highly skilled professionals and
an opportunity to work with the cutting edge technology of the future. The
candidate is regarded as a key person for the success of OculusAI and will,
beside a competitive salary, be offered stock options.
We are looking for the brightest and most talented employees, and welcome
candidates who have a strong desire to make a huge impact with their work.
Are you one of them?
CONTACTS
For questions about the position, please contact Siamak Ayani,
mailto:sia...@oculusai.com . Apply by sending your resume to
mailto:car...@oculusai.com
------------------------------
From: "fengshi" <fen...@med.unc.edu>
Subject: JOB : Postdocs - UNC - Chapel Hill, NC
Several postdoctoral positions are available in IDEA lab
( https://www.med.unc.edu/bric/ideagroup ), UNC-Chapel Hill, NC
Position 1 (One Position on Breast MRI Analysis): The successful candidate
will be expected to develop novel enhancement segmentation and classification
methods for significantly improving the specificity of dynamic MRI in detecting
and diagnosing breast cancer. Both a spatiotemporal registration method and
an enhancement segmentation method will be developed. Also, a novel enhancement
classification method for differentiating between benign and malignant enhancements
for both mass and non-mass enhancement cases will be developed.
The successful candidate should have a strong background on Electrical or
Biomedical Engineering, or Computer Science, preferably with emphasis on
image registration, segmentation, and classification. Experiences on deformable
registration, adaptive segmentation (i.e., graph cut), and non-linear classification
are highly desirable.
Position 2 (One Position on Brain Image Segmentation): The successful candidate
should have a strong background on Electrical or Biomedical Engineering,
or Computer Science, preferably with emphasis on image analysis, or computer
vision. Experience on medical image segmentation and analysis is highly desirable.
People with machine learning background are particularly encouraged to apply.
Knowledge on neuroscience and programming background (good command of LINUX,
C and C++, scripting, and Matlab) are desirable. The research topic will
be the development and validation of tissue segmentation and subcortical
segmentation methods for brain image analysis.
Position 3 (One Position on Brain Image Registration): The successful candidate
should have a strong background on Electrical or Biomedical Engineering,
or Computer Science, preferably with emphasis on image analysis, or computer
vision. Experience on medical image registration and analysis is highly desirable.
People with machine learning background are particularly encouraged to apply.
Knowledge on neuroscience and programming background (good command of LINUX,
C and C++, scripting, and Matlab) are desirable. The research topic will
be the development and validation of 3D, 4D, and group-wise image registration
methods for brain image analysis.
Position 4 (One Position on Network Analysis): Applications are invited for
a postdoctoral fellowship to develop and apply network analysis methods on
brain MR images, e.g., structural MRI, functional MRI, and DTI. Candidates
should have a doctoral degree in Biomedical Engineering, Computer Science,
Mathematics, or related field; excellent interpersonal, organizational, and
oral and written English communication skills.
The successful candidates will be part of a diverse group including radiologists,
psychologists, physicists, biostatistician, and computer scientists, and
will build upon the group's previous work on medical image analysis. If interested,
please email resume to Dr. Dinggang Shen ( mailto:dgs...@med.unc.edu ).
2009-06-07
------------------------------
From: "olivier...@unicaen.fr" <olivier...@unicaen.fr>
Subject: JOB : Post-doc - Universit� de Caen Basse-Normandie - France
Post-doctoral position in Image processing and analysis
Universit� de Caen Basse-Normandie, France ( http://www.unicaen.fr )
STARTING DATE : September 2009
DURATION : 12 months
SCIENTIFIC CONTEXT : This post-doctoral position is offered in context
of the FOGRIMMI project, http://www.stlo.unicaen.fr/fogrimmi . The
FOGRIMMI project is a project funded by the French National Research
Agency under the Mass Data and Knowledge program. The FOGRIMMI project
focuses on research in the area of Image processing and analysis of
whole slide images of microscopic samples. Whole slide images enable to
dispose of a complete multi-resolution view of microscopic samples. The
information contained in such images is huge and efficient processing
methods are needed for automatic and interactive extraction algorithms.
The particular focus of this position is on the segmentation of cellular
samples and on the recognition of cells. The researcher is expected to
be both practical and scientifically minded, and willing to publish
results at conferences and in journals. Creative contributions and
modifications to the problem formulation are highly encouraged.
ENVIRONMENT : The Image Team of the GREYC laboratory
( http://www.greyc.ensicaen.fr/EquipeImage ) has a long history in the
area of Image Processing for Computer Aided Diagnosis. The GREYC-Image
team has a broad range of competences, e.g. in variational and
morphological models, geometrical and topological modeling, harmonic
analysis, and machine learning. The team of researchers at GREYC-Image
has a tradition of tight cooperation, with a particularly open climate
for discussions, mutual support, and exchange of code and expertise.
REQUIRED QUALIFICATIONS : Experience with one or more of: Image
Processing, Graph Theory, Computer Vision, Machine Learning. Experience
of programming (C++).
ACADEMIC BACKGROUND: 5 years higher education (university's degree or
engineering equivalence). A Ph.D. in the field of image processing,
computer vision.
CONTACTS FOR ADDITIONAL INFORMATION : Applicants should send a CV
including a list of publications, a statement of research interests, and
names and contact information of 2 referees electronically to Olivier
Lezoray: mailto:olivier...@unicaen.fr ,
http://www.info.unicaen.fr/~lezoray , until July 15, 2009. Applications
will be accepted until the position is filled.
------------------------------
From: aiia_anno...@aiia.csd.auth.gr
Subject: JOB : Research positions - AIIA lab - Greece
A number of research positions have become available in the Artificial
Intelligence and Information Analysis AIIA Laboratory at the Department
of Informatics of the Aristotle University of Thessaloniki, Greece.
Postdoctoral researchers
PhD students holding an MSc degree or Diploma in Electrical
Engineering / Computer Science / Computer Engineering or equivalent
System administrator/programmer
The AIIA Lab profile and related information can be found in
http://www.aiia.csd.auth.gr . The positions are funded by several competitive
FP6 R&D projects (Networks of Excellence and Integrated projects funded European
Union). The general research topic is digital signal / image / video processing
and analysis computer vision and graphics. An indicative list of possible
research topics is the following:
* Digital Image/Video Analysis
The exact research topic of the new researcher will be chosen so as to
match his/her experience aiming at maximum productivity. The positions
are financed by EU research projects. Appointments can be extended for 3
years or more. Proven research experience in one of the following fields:
digital image processing, computer vision, graphics, interfaces, signal
processing, very good knowledge of English, C/C++ programming and strong
interest in academic research are highly desired.
The deadline for the above positions is the 31st May 2009.
Prospective applicants should be EU citizens only and should forward their
resume (CV) and recommendation letters by fax or email (preferably) to:
Prof. Ioannis Pitas, Department of Informatics
Aristotle University of Thessaloniki, Thessaloniki 54124, Box 451
GREECE
Tel: +30-2310-996361
Fax: +30-2310-998453
e-mail: mailto:pi...@aiia.csd.auth.gr
------------------------------
From: "Bevil R. Conway" <bco...@wellesley.edu>
Subject: JOB : Postdoc - Wellesley/Harvard - Boston, MA
A post-doctoral position in color psychophysics and/or color
neurophysiology, working with Bevil Conway, is available at Wellesley
College/Harvard Medical School, located in the Boston area, beginning
anytime between July and October, 2009. The position is for up to four
years, and the salary will be set by the NIH/NSF guidelines. For more
information on the projects in the lab, please see:
http://www.wellesley.edu/Neuroscience/Faculty_page/Conway/index.htm
The ideal candidate will have received a PhD within the last three years
and will have experience in visual neuroscience, if not specifically
color. Although the position is funded, applicants will be expected to
apply for external post-doctoral funding. Applications will be reviewed
on a rolling basis until the position is filled. Women and
under-represented minorities are encouraged to apply!
Feel free to contact Bevil Conway with informal inquiries. To apply,
please send CV and list of publications, pdfs of two recent papers, and
names of three references to Bevil Conway.
mailto:bco...@wellesley.edu
Bevil R. Conway, MMSc PhD
Knafel Assistant Professor of Natural Science
Assistant Professor of Neuroscience
Wellesley College, MA
tel: 781-283-2994
fax: 781-283-3642
bco...@wellesley.edu
------------------------------
From: "Nebel, Jean-Christophe" <J.N...@kingston.ac.uk>
Subject: JOB : Research Fellow - Kingston Univ - London, UK
Research Fellow
Digital Imaging Research Centre, Kingston University London, UK
�34,591 to �37,602 pa inc. London Weighting
Following on from our excellent performance in the UK Research Assessment
Exercise, the Faculty of Computing, Information Systems and Mathematics is
investing in a number of three-year post-doctoral positions to strengthen
our research centres and groups. The Digital Imaging Research Centre is seeking
to recruit an outstanding, experienced individual to drive the following
project:
Genetics-inspired framework for video processing
Although state-of-the-art visual surveillance algorithms have been the product
of extensive work by many researchers worldwide for more than a decade, current
approaches are still not sufficient to handle the very wide range of data
exhibited by CCTV videos. Consequently, a new approach is required to deal
with such variability. In this project, we propose a genetics-inspired framework
which sees variability in CCTV data as the expected norm rather than an inconvenience
to control. By representing a CCTV sequence as an image under evolution,
we will be able to design a new range of video processing algorithms inspired
by genomics approaches.
Additional equipment and dissemination funding has also been allocated to
the selected project.
For more details, informal enquires and application pack, please contact
Dr Jean-Christophe Nebel, project leader, at mailto:J.N...@kingston.ac.uk .
Closing date for receipt of applications: Friday July 10th 2009
Interviews are expected to take place in the week commencing 27th July 2009
The successful candidate will be expected to start in September 2009 or soon
thereafter.
------------------------------
From: "Guoying Zhao" <gyz...@ee.oulu.fi>
Subject: CFP : 2nd WS ML for Motion Analysis - Japan - 16JUN2009
Call For Papers: the second workshop on Machine Learning for
Vision-based Motion Analysis
http://www.ee.oulu.fi/~gyzhao/MLVMA09/index.htm
will be held in conjunction with the 12th International Conference on Computer
Vision (ICCV09), on Sep. 28th, 2009, in Kyoto, Japan.
We solicit the high-quality, previously unpublished, research
contributions that address vision-based object motion analysis by using
machine learning approaches. Submissions that address real-world
applications are especially encouraged. Tentative topics of interest
include, but are not limited to,
Methods: Supervised/unsupervised/semi-supervised learning; Generative
and discriminative approaches; Probabilistic graphical models and
exponential families; Manifold (or subspace) learning; Kernel machines;
Online and incremental learning; etc
Applications: Motion segmentation and object recognition; object
detection and tracking; Motion feature extraction and representation;
Pose estimation; Motion analysis and understanding; Activity analysis
and unusual event detection; etc
Prospective authors are invited to submit a full-length eight-page
paper electronically in same format as ICCV. Important dates:Submission
deadline: June 16th, 2009. Notification of acceptance: July 20th,
2009. Camera-ready due: Aug. 5th, 2009
Workshop: Sep. 28th, 2009
Program chairs:
Matti Pietik=C3=A4inen, University of Oulu, Finland
Liang Wang, The University of Melbourne, Australia
Li Cheng, TTI-Chicago, USA
Guoying Zhao, University of Oulu, Finland
Program committee members:
Mark Barnard, University of Surrey
Edmond Boyer, INRIA Grenoble-Rhone-Alpes, France
Eric Bruno, University of Geneva, Switzerland
Ahmed Elgammal, Rutgers University
Shaogang Gong, University of London, Queen Mary, UK
Janne Heikkil=C3=A4, University of Oulu, Finland
Kaiqi Huang, Chinese Academy of Sciences, China
Atsushi Imiya, IMIT, Chiba University, Japan
Jonghwa Kim, University of Augsburg, Germany
Mun-Wai Lee, ObjectVideo Inc
Bastian Leibe, ETH Zurich, Switzerland
Fei-fei Li, Princeton University, USA
Jeroen Lichtenauer, Delft University of Technology, Netherlands
Rainer Lienhart, Universit=C3=A4t Augsburg, Germany
Greg Mori, Simon Fraser University, Canada
Erik Murphy-Chutorian, Google Inc, CA.
Yuichi Nakamura, Kyoto University, Japan
Alistair Sutherland, Dublin City University, Ireland
Nadia Thalmann, MIRALab, Switzerland
Matthew Turk, University of California, USA
Lei Wang, Australian National University
------------------------------
From: robert pless <pl...@cs.wustl.edu>
Subject: CFP : IEEE Motion Video Computing WS - Snowbird, UT - 27JUL2009
IEEE Workshop on Motion and Video Computing
(concurrent with WACV and PETS as part of the IEEE Winter Vision
Multi-Meetings)
December 7-9, 2009, Snowbird UT
Website: http://www.cs.wustl.edu/~pless/WMVC2009
Important Dates:
Submissions: (Abstracts) July 27, 2009
(Full Papers) August 3, 2009
This year we particularly encourage submissions that include the
analysis of novel sensors (e.g. infrared or polarization sensitive,
compressive-sensing, omnidirectional, or microscopy), and varying time
scales (high-speed imaging, the analysis of long-time lapse data). In
general, article submissions are sought on any area of video processing
and motion interpretation, including (but not limited to):
Multi-sensor and multi-target detection and tracking
Extraction of semantics from video
Human activity recognition
Gesture and gait analysis and recognition
Low-level motion analysis (Optic flow, motion segmentation, structure
from motion)
Analysis of video data from novel sensors
Performance evaluation of video understanding systems
Activity modeling and recogntion
Video retrieval
Video for surveillance and biometrics
Video event detection and recognition
Organizing Committee:
James W. Davis, Ohio State University
Robert Pless, Washington University
Stefano Soatto, UCLA
Chris Bregler, New York University
C.J. Taylor, University of Pennsylvania
Rene Vidal, John Hopkins University
------------------------------
From: "Celebi, Emre" <Emre....@lsus.edu>
Subject: CFP : SMIG Skin Cancer Image Analysis - 31JUL2009
Call for Papers:
Computerized Medical Imaging and Graphics (CMIG)
Special Issue on Skin Cancer Image Analysis
INTRODUCTION
Computerized Medical Imaging and Graphics is seeking original and
unpublished manuscripts for a special issue on Skin Cancer Image
Analysis, scheduled for publication in 2010.
Invasive and in situ malignant melanoma together comprise one of the
most rapidly increasing cancers in the world. Invasive melanoma alone
has an estimated incidence of 62,480 and an estimated total of 8420
deaths in the United States in 2008. Early diagnosis is particularly
important since melanoma can be cured with a simple excision if detected
early. In the past, the primary form of diagnosis for melanoma has been
unaided clinical examination. In recent years, dermoscopy has provided
increased ability to observe pigmented lesion structures. However,
dermoscopy remains difficult to learn and subjective, and several
studies have confirmed the limits of unaided dermoscopy. Newer
technologies, including digital dermoscopy, infrared imaging,
multispectral imaging, and confocal microscopy, have recently come to
the forefront in providing greater diagnostic accuracy. These imaging
technologies can serve as an adjunct to physicians and in some
implementations could provide fully automated skin cancer screening
potential. Although computerized techniques cannot as yet provide a
definitive diagnosis; they can be used to improve biopsy decision-making
as well as early melanoma detection in the clinic, especially for
patients with multiple atypical nevi, congenital nevi, and other
clinical presentations.
This special issue aims to cover all aspects of skin cancer image
analysis. Topics of interest include, but are not limited to:
* Image enhancement
* Image registration
* Border detection
* Feature extraction
* Feature selection
* Classification
* Image analysis aspects of new and emerging imaging modalities
PAPER SUBMISSION
Authors are encouraged to submit papers in either of two categories -
Original Research or Technical Notes. Submitted manuscripts must be
unpublished and may not be under consideration elsewhere. Manuscripts
should be in double-spaced, single-column format, with a font size of 11
points or larger and a margin of at least 1 inch on all sides. For
Original Research, the manuscript may not exceed 20 pages including
title, names of authors and their complete contact information,
abstract, text, images, figures, tables, and references. Technical
Notes should not exceed 8 pages, inclusive of all above material.
Manuscripts should conform to the standard guidelines of CMIG.
Prospective authors should submit an electronic copy of their manuscript
through the CMIG online submission system at
http://ees.elsevier.com/cmig . Papers should be marked as "Special
Issue: Skin Cancer Imaging" in the Article Type section and "Skin Cancer
Image Analysis" special issue should be mentioned in the cover letter.
Each paper will be reviewed by at least two independent reviewers.
Editorial decisions will be made within 60 days after manuscript
receipt.
All submissions should be made by July 31st 2009 at the latest. We
anticipate publishing the special issue early in 2010.
GUEST EDITORS
M. Emre Celebi, Department of Computer Science,
Louisiana State University, Shreveport, LA, USA
mailto:ece...@lsus.edu
William V. Stoecker, Stoecker & Associates, Rolla, MO, USA
mailto:w...@mst.edu
Randy H. Moss, Department of Electrical and Computer Engineering,
Missouri University of Science and Technology, Rolla, MO, USA
mailto:r...@mst.edu
------------------------------
From: "Emre Celebi" <ece...@lsus.edu>
Subject: CFP : CIMI2009 - Cyprus - 30JUN2009
Call for Papers:
2nd International Workshop on Computational Intelligence in Medical
Imaging (CIMI 2009)
held in conjunction with the
9th International Conference on Information Technology and Applications
in
Biomedicine (ITAB 2009)
November 5-7, 2009, Larnaca, Cyprus
http://www-staff.lboro.ac.uk/~cogs/CfP/CIMI2009/
INTRODUCTION
Nowadays medical imaging provides major aid in many branches of medicine
and enables and facilitates the capture, transmission and analysis of
medical images as well as provides assistance towards medical diagnoses.
Medical imaging is still on the rise with new imaging modalities being
added and continuous improvements of devices' capabilities. Recently,
computational intelligence techniques (such as neural networks or
evolutionary algorithms) have been employed in various applications in
the area of medical imaging. Approaches based on computational
intelligence have been shown to be advantageous compared to classical
approaches, in particular when classical solutions are hard or
impossible to formulate and analyse. The International Workshop on
Computational Intelligence in Medical Imaging, held in conjunction with
the 9th International Conference on Information Technology and
Applications in Biomedicine (ITAB) 2009, is envisaged as a compilation
of the latest trends and developments in the field of computational
intelligence in medical imaging. CIMI 2009 is the 2nd installment of the
workshop which was previously held in Paris in 2008.
High quality contributions dealing with the use of computational
intelligence techniques such as:
* Neural networks
* Fuzzy logic
* Evolutionary computing
* Expert systems
* Symbolic AI
* Swarm intelligence
* Rough and near sets
* Probabilistic reasoning
* Machine learning
* etc.
in medical imaging are sought. Topics include, but are not limited to:-
* Intelligent medical imaging systems
* Medical image capture
* Computational anatomical atlases
* Surface and volume registration
* Medical image analysis
* Medical image motion analysis
* Multi-modal image analysis
* Image segmentation
* Multidimensional data visualisation
* Feature extraction and pattern recognition
* Statistical methods / population-based analysis
* Image guided surgery/therapy
* Medical image databases
* Functional/molecular/metabolic image analysis
* etc.
PAPER SUBMISSION
Prospective authors are invited to submit papers of no more than four
(4) pages in IEEE format including results, figures and references. All
accepted papers will be included in the proceedings of ITAB 2009 to be
published by the IEEE. At least one author of each accepted paper is
expected to attend the workshop for presentation.
Authors of best papers will be invited to extend their work for a
chapter in one of the following edited books:
* Soft Computing in Medical Image Analysis - Vol. 1: Fuzzy Logic
* Soft Computing in Medical Image Analysis - Vol. 2: Neural Networks
* Soft Computing in Medical Image Analysis - Vol. 3: Evolutionary
Computing
All three books will be published in Springer's Studies in Computational
Intelligence series.
IMPORTANT DATES
Paper submission: June 30, 2009
Notification of acceptance : July 30, 2009
Camera-ready submission and author registration: August 30, 2009
WORKSHOP ORGANIZERS
Gerald Schaefer, Department of Computer Science,
Loughborough University, Loughborough, U.K.
mailto:Gerald....@ieee.org
M. Emre Celebi, Department of Computer Science,
Louisiana State University, Shreveport, LA, USA
mailto:ece...@lsus.edu
Hitoshi Iyatomi, Department of Applied Informatics,
Hosei University, Tokyo, Japan
mailto:iya...@hosei.ac.jp
------------------------------
From: "VISLIST Moderator" <mode...@vislist.com>
Subject: CFP : 2nd WS 3D Physiological Human 2009 - Switzerland - 31JUL2009
CALL FOR PAPERS
2nd Workshop on 3D Physiological Human 2009
November 29 - December 01, 2009
Alex Hotel, Zermatt, Switzerland
http://3dph.miralab.unige.ch/
Aims and Scope:
Today, a huge amount of medical data is produced but the main question
remains how medical doctors/students can take full benefit out of them.
In the same time, recent advances in computing devices and network place
users in the center of a rich and interactive world where 3D medical
contents can be accessed and visualized anywhere and anytime. New
opportunities for the sharing, interaction and fusion of
anatomical/physiological models are given not only to the medical
professionals but also to the public.
This international workshop will provide rigorous knowledge exchanges in
both the theoretical and applied aspects of the convergence of
user-centric media and 3D physiological human research areas which
include three major research domains:
* Creation and visualization of 3D models for the human body
* Ubiquitous access to 3D medical model
* Usability and interaction issues of 3D medical models
The emphasis of this workshop will be on current and future research
that brings together the topics mentioned above.=20
Topics:
Suggested topics for papers include, but are not limited to:
* Segmentation and image processing
* Biomedical motion analysis and modeling
* 3D anatomical and physiological modeling
* Graphics hardware for medical computing
* Interactive medical visualization
* Data fusion, content-based 3D retrieval and classification
* Computational anatomical atlases
* Dynamic distributed networks for nomadic access to 3D medical
contents
* Adaptive visualization of 3D medical contents on heterogeneous
devices
* Real-time and interactive networked 3D medical contents
* Applications and systems for 3D medical contents visualization
and simulation
* User evaluations on 3D medical contents and applications
Conference Location:
Alex Hotel, Zermatt, Switzerland
Important Dates:
Paper submission: July 31, 2009 (23:59 GMT+1)
Authors' notification: August 21, 2009
Camera-ready papers: September 10, 2009
Conference: November 29 - December 01, 2009
Workshop Chairs:
Nadia Magnenat-Thalmann (MIRALab/University of Geneva, Switzerland)
Seunghyun Han (MIRALab/University of Geneva, Switzerland)
Dimitris Protopsaltou (MIRALab/University of Geneva, Switzerland)
Program Co-chairs:
Nadia Magnenat-Thalmann (MIRALab/University of Geneva, Switzerland)
Nuria Oliver (Telef=F3nica R&D, Barcelona, Spain)
Eric Stindel (University Hospital of Brest, France)
Local Committee Chairs:
Caecilia Charbonnier (MIRALab/University of Geneva, Switzerland)
J=E9r=F4me Schmid (MIRALab/University of Geneva, Switzerland)
International Program Committee (not confirmed):
Pierre Alliez (INRIA, France)
Nicholas Ayache (INRIA, France)
Massimiliano Baleani (IOR, Italy)
Raffaele Bolla (DIST/University of Genova, Italy)
Davide Caramella (University of Pisa, Italy)
Werner Ceusters (State Center of Excellence in Bioinformatics & Life
Sciences, USA)
Jiang Chang (Bournemouth University, UK)
Gary E. Christensen (University of Iowa, USA)
Albert C. S. Chung (Hong Kong University of Science and Technology, Hong
Kong)
Herve Delingette (INRIA, France)
Scott Delp (Stanford University, USA)
Mark de Zee (SMI, Denmark)
Tor Dokken (SINTEF, Norway)
Guy A. Dumont (University of British Columbia, Canada)
Daniel Espino (IOR, Italy)
Stephen Ferguson (University of Bern, Switzerland)
Bianca Falcidieno (CNR, Italy)
David D. Feng (Sydney University, Australia)
John Fisher (Institute of Medical & Biological Engineering, UK)
Andrea Giachetti (CRS4 and University of Verona, Italy)
Enrico Gobbetti (CRS4, Italy)
Markus H. Gross (ETH, Switzerland)
Hans-Christian Hege (Zuse Institute Berlin, Germany)
Tobias Heimann (INRIA, France)
James K. Hahn (George Washington University, USA)
Pheng-Ann Heng (The Chinese University of Hong-Kong, Hong Kong)
Pierre Hoffmeyer (HUG/University of Geneva, Switzerland)
Catherine Houstis (CERETETH, Germany)
Roger J. Hubbold (University of Manchester, UK)
Wolfgang H=FCrst (Utrecht University, Netherland)
Nigel John (University of Wales, UK)
Chris Joslin (Carleton University, Canada)
Leo Joskowicz (The Hebrew University of Jerusalem, Israel)
Jinman Kim (MIRALab/University of Geneva, Switzerland)
Aggelos Liapis (STARLab/Vrije Universiteit Brussel, Belgium)
Won-Sook Lee (University of Ottawa, Canada)
Vincent Luboz (Imperial College London, UK)
Yanlin Luo (CRS4, Italy)
Robert Meersman (STARLab, Belgium)
Dimitris N. Metaxas (State University of New Jersey, USA)
Joerg Meyer (University of California, USA)
Nassir Navab (Technische Universit=E4t M=FCnchen, Germany)
Alison Noble (University of Oxford, UK)
Xenophon Papademetris (Yale University, USA)
Bernhard Preim (University of Magdeburg, Germany)
Nicolas Pronost (EPFL, Switzerland)
Hong Qin (State University of New York at Stony Brook, USA)
Ewald Quak (SINTEF, Norway)
Richard A. Robb (Mayo Clinic College of Medicine, USA)
Antoine Rosset (HUG, Switzerland)
Daniel Rueckert (Imperial College, UK)
Enrico Rukzio (University of Lancaster, UK)
Deborah Silver (The State University of New Jersey, USA)
Michela Spagnuolo (CNR, Italy)
Eric Stindel (University Hospital of Brest, France)
Andr=E9 Stork (Fraunhofer, Germany)
Russell H. Taylor (Johns Hopkins University, USA)
Daniel Thalmann (EPFL, Switzerland)
Nadia Magnenat-Thalmann (MIRALab/University of Geneva, Switzerland)
Andrew Todd-Pokropek (UCL, UK)
Paul Tofts (Brighton and Sussex Medical School, UK)
Remco Velkamp (Utrecht University, Netherlands)
Michael Voigt (SMI, Denmark)
Pascal Volino (MIRALab/University of Geneva, Switzerland)
Mathias Wien (Rheinisch-Westfaelische Technische Hochschule Aachen,
Germany)
Franz-Erich Wolter (University of Hannover, Germany)
Mariette Yvinec (INRIA, France)
Jian Jun Zhang (Bournemouth University, UK)
Publication Information:
Accepted contributions will be presented at the workshop and the
proceedings will appear in a book published by Springer-Verlag.
Submissions should be up to 8 pages long, are not anonymous and must be
done electronically. Please refer to the submission section on the
workshop website (http://3dph.miralab.unige.ch/) for details (templates,
guidelines, etc.).
Contact Information:
For more informatio, please visit http://3dph.miralab.unige.ch/ or
contact: Nadia Magnenat-Thalmann - mailto:thal...@miralab.unige.c
This workshop is supported by the 3D Anatomical Human project, the
Focus K3D project, the InterMedia project and the Conference
Universitaire de Suisse Occidentale (CUSO
------------------------------
From: azahkm <aza...@gmail.com>
Subject: CFP : Int Conf Soft Computing and PR - Malaysia - 26JUN2009
The International Conference on Soft Computing and Pattern Recognition
(SoCPaR 2009)
Universiti Teknikal Malaysia Melaka (UTeM), Malacca, Malaysia
December 4-7, 2009
www.socpar.org
CALL FOR PAPERS
( http://www.socpar.org/callforpapers.html )
The aspiration of SoCPaR 2009 is to bring together worldwide leading
researchers, developers, practitioners, and educators interested in
advancing the state of the art in soft computing and pattern
recognition for exchanging knowledge that encompasses a broad range of
disciplines among various distinct communities. It is hoped that
researchers will bring new prospect for collaboration across
disciplines and gain idea facilitating novel breakthrough. The 4-day
conference commencing from one day workshop will feature prominent
keynote speakers, tutorials, poster and paper presentation in parallel
tracks. SoCPaR 2009 invites novel contributions/papers of soft
computing and pattern recognition from fundamental aspects to various
practical applications
TOPICS:
Soft Computing and Applications :
Evolutionary computing
Swarm intelligence
Artificial immune systems
Fuzzy Sets
Uncertainty analysis
Fractals
Rough Sets
Support vector machines
Artificial neural networks
Case Based Reasoning
Wavelets
Hybrid intelligent systems
Nature inspired computing techniques
Machine learning
Ambient intelligence
Hardware implementations
Pattern Recognition and Applications :
Information retrieval
Data Mining
Web Mining
Image Processing
Computer Vision
Bio-informatics
Information security
Network security
Steganography
Biometry
Remote sensing
Medical Informatics
E-commerce
Signal Processing
Control systems
Papers:
Submission of paper should be made through the submission link in
SoCPaR 2009 official website (www.socpar.org). Please refer to the
conference website for guidelines to prepare your manuscript.
SoCPaR2009 proceedings will be published by IEEE Computer Society and
indexed by both EI (Compendex) and ISTP. It is mandatory at least an
author registers for every paper that is included in the conference
proceedings. Proceedings will be made available during the conference.
Expanded versions of SoCPaR 2009 selected papers will be published in
special issues of internationally referred journals.
Venue:
SoCPaR 2009 will be held at the Melaka International Trade Centre
(MITC). The organizers will provide participants with help and advice
regarding accessing the conference location and all the places of
interest.
DATES:
Full paper submission: June 26, 2009
Paper acceptance / rejection notification: August 14, 2009
Camera ready submission : September 14, 2009
CALL FOR SPECIAL SESSIONS
( http://www.socpar.org/callforsessions.html )
SoCPaR 2009 is seeking original high quality Special Sessions on
focused discussion addressing innovative research highlighting
significant topics and emerging issues which are related to the
conference theme and with the desired expertise. Interdisciplinary
session themes are strongly sought after. Each special session
resembles a mini-conference within the main SoCPaR meeting will run
throughout the conference in parallel to other tracks (except the
keynote presentations).
IMPORTANT DATES:
Special sessions proposals: May 31, 2009
Acceptance of special sessions: June 5, 2009
CALL FOR WORKSHOP
( http://www.socpar.org/callforworkshop.html )
The SoCPaR 2009 Program Committee invites proposals for the technical
workshop program, to be held one day prior to the main conference.
SoCPaR 2009 workshops will provide a casual setting where participants
will have the opportunity to discuss specific technical topics in an
atmosphere that fosters the practical session and active exchange of
ideas. Hands-on workshops that focus on state-of-art topics or on
applications related to SoCPaR 2009 conference theme are highly
encouraged. The workshop should plan for ample time to foster open
discussions. Financial assistance for the workshop instructor will be
limited to one participation fee waiver for the conference only.
Workshops can be varying in length, but will at most last a full day.
Workshop attendees are not required to register for the main SoCPaR
2009 conference, but are encouraged to do so.
IMPORTANT DATES:
Workshop proposals: May 31, 2009
Acceptance of workshop: Jun 5, 2009
Honorary Chair:
L. A. Zadeh
(University of California Berkeley)
Nanna Suryana Herman
(Universiti Teknikal Malaysia Melaka)
Siti Mariyam Hj. Shamsuddin
(SCRG Chair, University of Technology Malaysia)
Ajith Abraham
(MIR Labs)
Please refer to the conference website for further details.
www.socpar.org
------------------------------
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