[visionlist] CFP: ICIP Special Session on Feature Learning

Dear administrator (and readers) of the VisionList,

Call for Papers

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ICIP 2014: Intl. Conf. Image Processing

SPECIAL SESSION on LEARNING IMAGE FEATURES
27 – 30 October 2014, CNIT La Defense, Paris, France

http://ift.tt/1fimJ02

Submission of papers:
February 14th, 2014

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Learning Image Features to Encode Visual Information

Organizers:
Jesus Malo (Univ. Valencia), Javier Portilla (CSIC), and Joan Serra-Sagristà (Univ. Aut. Barcelona)

Description:

The dimensionality of image and video samples is huge. Fortunately, natural imagery tends to lie in low-dimensional manifolds embedded in this high-dimensional space. Discovering the fundamental dimensions (features) of the image subspace and describing its structure are key for image processing and understanding. Human vision is closely tied to these statistical regularities as well. For example, knowledge of this structure is fundamental for an efficient resource allocation in image coding; noise breaks the structure of the manifold resulting in samples in unusual places so that learning/enforcing the right features is central in image restoration and regression; characterization of clusters depending on the nature of the images is key in image recognition and classification; and, finally, structure of these curved manifold subspaces is important to propose meaningful distance measures between images, which is the challenge central to image retrieval and image-quality assessment. As a consequence, a manifold-oriented approximation to image processing cuts to the heart of nonlinear feature extraction, while manifold regularization encompasses the inclusion of prior knowledge, the learning and encoding of different types of invariance/redundancy, and the characterization of spatial-temporal-spectral texture. Feature learning is interdisciplinary in nature: on the one hand, automatic discovery of relevant directions in image space (machine learning) may explain the behavior of the human visual system (neuroscience), and -interestingly for the engineering community— perceptually relevant features may unveil unexpected statistical meaning, and vice versa. This special session focuses on raising key scientific questions that need to be addressed in the context of image processing: the study of the intrinsic dimensionality of images and how to discover low-rank subspaces; dictionary learning for different criteria such as error minimization, information maximization, or classification performance; the domain-adaptation issue; how to evaluate the quality of features or their perceptual relevance; and the effect of invariance or certain symmetries on the appropriate image representation, or the metric-learning issue.

See paper submission instructions at:
http://ift.tt/1nwUNLZ
Note the deadline: February 14th, 2014

We look forward to seeing you in Paris!

The organizers of the Special Session.


[visionlist] 2nd call for participation: 10th International Young Scientist Conference “Developments in Optics and Communications”

Dear visionlist members,
Everyone is kindly invited to take part in the 10th International Young Scientist Conference “Developments in Optics and Communications” jointly held with the Laserlab III Training School for Potential Users “Laser Applications in Spectroscopy, Industry and Medicine”. The event will be held on April 9 – 12, 2014 in Riga, Latvia. You are welcome to submit an abstract for an oral or poster presentation in one of the following conference topics:+ Biophotonics; + Laser physics and spectroscopy; + Optical materials and phenomena; + Optics in communication; + Vision science. The training school will feature laboratory exercises for graduate students and young scientists at research facilities. Early application is strongly encouraged, as the number of participants in the laboratory exercises is limited. A seminar explaining opportunities offered by the Laserlab network and giving practical advice on joining the network will take place during the event. The abstract submission and registration deadline for the joint event is February 7, 2014. The official language ot the conference and training school is English. For further information please visit conference web page: http://docriga.lv Best regards, DOC / Laserlab III Training school Organizing team


[visionlist] Post-doctoral position in bioimage and bioinformatics for microRNA therapeutics in heart failure

Job Advertisement: Position at the post-doctoral level for 1 year at the
Systems and Modeling research unit at the GIGA Biomedical Research
Center and at the Montefiore Institute of Electrical Engineering and
Computer Science, at the University of Liège, Belgium.

Within European FP7 Marie Curie Work Programme coordinated by Prof.
dr. S. Heymans (Maastricht University), we are looking for an excellent,
highly competitive researcher at the post-doctoral level. He/she should
have worked for at least 3 years outside Belgium during the past years.

Topic : Development & application of machine learning, image analysis,
and bioinformatics techniques for high-throughput and high-content
analysis for microRNA-medicines for Cardiac Metabolic Diseases.

Keywords: Machine Learning – Image Analysis – Bioimage Informatics –
Bioinformatics

Environment: The GIGA Research Center with excellent research groups in
biology, bioinformatics, and machine learning fields grouped together.

Project: The researcher will be working closely with a team of software
developers, researchers in machine learning & bioinformatics, and
biologists, to advance high-throughput automated analysis of bioimaging
& microRNA data. The applicant will be involved in the application of
existing algorithms and the design of novel algorithms and their
large-scale evaluation for cellular image recognition and phenotype
quantification to discover novel microRNAs implicated in heart failure.
She/He will have access to a high-performance computing environment and
various bioinformatics tools including the inhouse developed Cytomine
platform able to process terabytes of imaging data.

Capacities & Experiences: Applicants should hold a PhD and have strong
knowledge in machine learning, bioinformatics and/or computer vision.
Programming and data analysis skills are also highly desirable. The
candidates should be highly motivated, with a strong interest in
large-scale biomedical applications. A working knowledge of English
language is mandatory

This project is a collaborative project (exchange of people) between
Maastricht University (Netherlands), Cenix Biosciences (Dresden, Germany)
and SystMod (GIGA, Liège, Belgium).

Interested candidates should send a CV, a brief statement of research
and development interests, three relevant publications, and the names
and contact details of two references by e-mail (with subject “Postdoc
CardiomiR”) to: raphael.maree@ulg.ac.be; p.geurts@ulg.ac.be

Related links:
http://ift.tt/1kkEsqV
http://ift.tt/1nvJ93Q
http://ift.tt/1kkEsqW
http://www.cytomine.be/
http://ift.tt/1nvJ93U
http://ift.tt/1kkEsr0


[visionlist] [studentship] PhD studentship in Social Perception at Bangor University

Please forward to any students you think may be interested.

Interested in Social Perception?  Have an interest in development or developmental disorders?  If so, please see below:

Fully Funded PhD Studentship available in the Developmental Social Vision Lab, Bangor University

Supervisor: Dr. Kami Koldewyn
Closing Date: 21st February 2014

Applications are invited for a three-year fully funded PhD studentship in the School of Psychology, Bangor University, supervised by Dr. Kami Koldewyn.

The studentship will start in October 2014. It includes payment of UK/EU level tuition fees, a maintenance allowance of approximately £13,726 and a research allowance of £750 per annum.

Project Description

The project will be part of on-going research in the Developmental Social Vision Lab exploring the perception of social interaction both across the lifespan and in neurodevelopmental disorders. The project will use behavioural and eye-tracking paradigms
as well as both functional MRI and transcranial magnetic stimulation to examine the cognitive and brain systems that underpin our ability to perceive and understand other people and the interactions between them. The successful candidate will be encouraged
to identify novel questions and design innovative studies in social interaction perception as well as explore new ways of combining behavioural and brain data. More information about Dr. Koldewyn and the Developmental Social Vision Lab can be found here:http://ift.tt/1bHkDnQ

How to Apply

Applications for this studentship will be considered until 21st February 2014 and interviews are likely to take place March.

To apply please read the Notes for Guidance here.

1. Complete the Bangor University online application here and include the following documents:

Certificates: copies of certification of your degree and/or other academic qualifications

A detailed research proposal (500-1000 words) including:

The proposed research title

Background to the research

The aims of the research

How the project will be approached, with particular reference to the methodologies/techniques which might be employed and the sources that might be consulted

Anticipated outcomes from the project.

Statement of research interest (100-500 words) (Instead of personal statement: Checklist 9 of 10 in the online application)

Please include a statement on your relevant research skills and experience (e.g. computer skills, programming experience, knowledge of statistics, relevant prior experience, brief description of any prior research projects, etc.). 

A copy of your current CV.

IELTS or TOFEL Score (for those whose first language is not English or Welsh)

2. It is important that you clearly mention the name of the supervisor that you are applying to work with on your application. If applying to multiple studentships please submit SEPERATE applications/documents online.

Once completed, please confirm submission to s.shanker@bangor.ac.uk.Deadline – The on-line application form and accompanying documents must be submitted by Friday, 21st February 2014.

Candidate Requirements

The successful candidate will have a First Class Honours Degree (or equivalent) and/or a Master’s Degree in a relevant discipline (note here that many backgrounds will be considered relevant if the candidate can make clear the link between their background
and their current interest in psychology/neuroscience).

The candidate must have the ability to work independently and enthusiastically with the support of a supervisor. Both strong written and oral communication skills and technical skills relevant to quantitative research are essential. Significant experience/skill
in programming and data manipulation are critical. Experience in brain imaging and/or experience working with children, adolescents, older adults or population with neurodevelopmental disorders would be advantageous but is not essential.

As part of the studentship the Student will enrol in a relevant teaching module and contribute to teaching within the School of Psychology.

Informal enquiries regarding the PhD position should be directed to Kami Koldewyn. For any enquiries regarding the application process please email Shanti Shanker. 

 

Rhif Elusen Gofrestredig 1141565 – Registered Charity No. 1141565

Gall y neges e-bost hon, ac unrhyw atodiadau a anfonwyd gyda hi, gynnwys deunydd cyfrinachol ac wedi eu bwriadu i’w defnyddio’n unig gan y sawl y cawsant eu cyfeirio ato (atynt). Os ydych wedi derbyn y neges e-bost hon trwy gamgymeriad, rhowch wybod i’r
anfonwr ar unwaith a dilewch y neges. Os na fwriadwyd anfon y neges atoch chi, rhaid i chi beidio a defnyddio, cadw neu ddatgelu unrhyw wybodaeth a gynhwysir ynddi. Mae unrhyw farn neu safbwynt yn eiddo i’r sawl a’i hanfonodd yn unig ac nid yw o anghenraid
yn cynrychioli barn Prifysgol Bangor. Nid yw Prifysgol Bangor yn gwarantu bod y neges e-bost hon neu unrhyw atodiadau yn rhydd rhag firysau neu 100% yn ddiogel. Oni bai fod hyn wedi ei ddatgan yn uniongyrchol yn nhestun yr e-bost, nid bwriad y neges e-bost
hon yw ffurfio contract rhwymol – mae rhestr o lofnodwyr awdurdodedig ar gael o Swyddfa Cyllid Prifysgol Bangor.

This email and any attachments may contain confidential material and is solely for the use of the intended recipient(s). If you have received this email in error, please notify the sender immediately and delete this email. If you are not the intended recipient(s),
you must not use, retain or disclose any information contained in this email. Any views or opinions are solely those of the sender and do not necessarily represent those of Bangor University. Bangor University does not guarantee that this email or any attachments
are free from viruses or 100% secure. Unless expressly stated in the body of the text of the email, this email is not intended to form a binding contract – a list of authorised signatories is available from the Bangor University Finance Office.


[visionlist] job ad (UCLA)


[visionlist] Low Vision Specialist job opening at Second Sight


[visionlist] EvAAL Call for Competition 2014

Apologies for possible duplicates.

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Fourth EvAAL Competition
(Evaluating AAL Systems through Competitive Benchmarking)

TRACK 1: LOCALIZATION AND ACTIVITY RECOGNITION FOR AAL
7-10 July 2014 — Madrid, ES

TRACK 2: RF-BASED INDOOR LOCALIZATION SOLUTIONS IN PUBLIC SPACES
organized by the EVARILOS project
June 2014 — Ghent, BE

TRACK 3: RF-BASED INDOOR LOCALIZATION ALGORITHMS
organized by the EVARILOS project
May – July 2014 — online remote competition

Final EvAAL workshop
11 July 2014 — Madrid, ES

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An initiative organised by the AALOA community (http://www.aaloa.org)
and partially supported by universAAL (http://universaal.org)
and EVARILOS (http://www.evarilos.eu)

We are pleased to announce the 4th EvAAL Competition. EvAAL aims at
bringing together academic and industrial research communities to work
together on challenging open problems in Ambient Assisted Living (AAL),
with the purpose of evaluating different approaches to AAL and
envisioning new research opportunities. EvAAL is an opportunity to find
good solutions to a number of challenges in the AAL domain.

During the competition, we will collect data sets in realistic
environments (the living labs), which we offer as benchmarks to
researcher communities for the simulation and test of their solutions.

The competition is composed of three tracks and a final workshop:

– Track 1 on Localization and activity recognition for AAL, to be held
on 7-11 July, 2014 at the Smart House Living Lab of the Universidad
Politécnica de Madrid, Spain

– Track 2 on RF-based indoor localization solutions in public spaces,
organized by the EVARILOS consortium, to be held in June, 2014, at the
test facilities of iMinds, Belgium

– Track 3 on RF-based indoor localization algorithms, organized by the
EVARILOS consortium, to be held online in May/June/July, 2014, with
remote access to test facilities at Technische Universität Berlin,
Germany and iMinds, Belgium

– EvAAL workshop to be held on the 11 July, 2014 at the Universidad
Politécnica de Madrid, Spain, and accompanying online session for the
competitors in Track 2 and Track 3

Track 1 – Localization and Activity Recognition for AAL

The automatic and unobtrusive identification of user’s activities is one
of the challenging goals of AAL. Real-time monitoring of human daily
activities (e.g. sleeping, cooking, watching TV, etc.) could be a useful
tool for many future AAL applications such as behavioural pattern
recognition, detection of diseases or entertainment. Recognition of
daily activities can make use of several sources of information
including real-time position, usage of electronic appliances and
recognition of movements.

The aim of this competition is to award the best system in terms of
activity recognition, localization and gesture/posture recognition from
the point of view of AAL applications. We will welcome competitors to
install their systems at the Smart House Living Lab and integrate their
data with the ones provided by our installations for the best
accuracy. The final score will be based on the accuracy of the
recognized activities, localization and gestures/postures and other
AAL-related criteria including user acceptance, integrability and
installation complexity.

Track 2 – RF-based Indoor Localization Solutions in Public Spaces
Organized by the EVARILOS project

Localization in urban environments and buildings, where people spend
most of their time, is a key component for achieving
context-awareness. Due to the poor performance of established outdoor
solutions like the GPS service, a number of alternative indoor
localization solutions have been recently proposed, many of them
leveraging radio frequency (RF).

This track, organized by the EVARILOS consortium (see
), focuses on benchmarking
complete localization solutions. The contestants will have opportunity
to install additional hardware and software at the iMinds test facility
in Ghent, Belgium. Available contexts include an office environment and
an enclosed open space. All competing systems have to be either
RF-based, or in case of multimodal systems, they have to possess a
strong RF-based component. Hybrid systems where other technologies are
used such as infrared, ultrasound, RFID, or other are also allowed. The
track especially targets industry participation but also welcomes
academia.

The performance of the competing localization solutions will be
evaluated in several different application categories, like AAL and
healthcare, and scores will be published on EVARILOS website. Scores
based on an AAL scenario including metrics such as accuracy,
installation complexity and user acceptance will be considered for EvAAL
ranking.

Track 3 – RF-based Indoor Localization Algorithms
Organized by the EVARILOS project

The track, organized by the EVARILOS consortium (see
), is an online competition for
RF-based indoor localization algorithms in which participating teams
compete in precise localization under the influence of different
RF-interference scenarios. The competing localization algorithms will
have to be implemented through remote access on top of the existing
hardware resources available at the EVARILOS experimental facilities at
TU Berlin and iMinds, described at ,
including large number of IEEE 802.11g/n access points and IEEE 802.15.4
sensor nodes, deployed in a typical multi-floor office space context. As
in Track 2, the competing localization algorithms in Track 3 will be
evaluated following the EVARILOS benchmarking methodology, aligned with
the upcoming ISO/IEC 18305 standard “Test and evaluation of localization
and tracking systems”.

This online track will provide contestants with unique opportunity to:
test and compare the performance of their RF-based indoor localization
algorithms following a standardized evaluation methodology; test the
sensitivity of their algorithms to radio interference under controlled
conditions; disseminate information about their localization solution as
part of the competition workshop, website and the published proceedings
and contribute towards the establishment of a public repository of
experimental traces from indoor localization solutions.

***********************************************************************

Candidate competitors are invited to submit a paper describing their
system to the appropriate track. A “competitor” can be any individual or
group of individuals working as a single team, associated to a single or
a number of organisations. The papers will undergo a peer review by the
technical program committee members. The papers must include a
description of the hardware, deployment, and algorithms and protocols
used, and the description of the internal data produced and processed by
the system.

Submitted papers in the form of extended abstracts, not exceeding 4
pages, must be submitted by the deadline indicated below.

The evaluation criteria for the competition, constraints on the accepted
technologies, and a description of the benchmarks are detailed in the
technical annexes of this call, which will be published shortly at
. Possible refinements of the annexes, also
based on participating competitors comments, will be timely distributed
to all participants.

Depending on the number and quality of submissions, it may be necessary
to restrict the number of participants admitted to the competition to
the best ranked papers, due to space/logistic constraints at the living
labs.

Selected competitors are admitted to the competition under the two
following conditions:

1. participate to the competition at the hosting facilities (tracks 1
and 2) or remotely (track 3); the organizers will set individual
appointments for each competing team;
2. provide the organizers with the internal data produced by their
systems during the competition as will be specified by the reviewers;
provide the documentation describing the deployment of their system,
as requested by the organizers: the data will be published on the
EvAAL website.

After the competition, competitors will be requested a complete version
(8-20 pages in LNCS form) of their papers, which will be subjected to
further peer review. Papers that pass the second peer review will be
eligible to be published in the EvAAL Proceedings. For track 1 and track
2, publication on the EvAAL proceedings and official ranking on EvAAL’s
web site are subject to participants attending the final workshop in
person. This condition is not required of participants admitted to
track 3, given the online nature of this track, though they are warmly
invited to attend the workshop.

Papers that are not published on the EvAAL proceedings per the above
criteria will be published on EvAAL’s web site.

A participation fee to the workshop of maximum 300€ will be asked to
participants of track 1 for covering organizational costs, though its
amount be reduced depending on the results of negotiations with our
sponsors. Costs relative to tracks 2 and 3 are covered by EVARILOS.
EVARILOS will organize remote attendance to the workshop.

The winners will be announced during the workshop, prizes will be
awarded by our sponsors to the highest-ranking competitors.

We encourage submissions from both academia and industry (there are no
restrictions on the composition of competing teams) with the aim of
seeking innovative solutions for AAL applications. Please check the
EvAAL web site at for more information and
regular updates on the progress of the competition.

Contact: info@evaal.aaloa.org
Submission:

Important Dates