ECML-PKDD 2012 – The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

September 24-28, 2012
Bristol, UK

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* Key Dates
– Abstract submission deadline: Thu 19 April 2012
– Paper submission deadline: Mon 23 April 2012
– Early author notification: Mon 28 May 2012
– Regular author notification: Fri 15 June 2012
– Camera-ready submission: Fri 29 June 2012

* Call For Papers
The European Conference on “Machine Learning” and “Principles and Practice of Knowledge Discovery in Databases” (ECML-PKDD) provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning and knowledge discovery in databases and other innovative application domains.
Submissions are invited on all aspects of machine learning, knowledge discovery and data mining, including real-world applications.

The overriding criteria for acceptance will be a paper’s:
– potential to inspire the research community by introducing new and relevant problems, concepts, solution strategies, and ideas;
– contribution to solving a problem widely recognized as both challenging and important;
– capability to address a novel area of impact of machine learning and data mining.
Other criteria are scientific rigour and correctness, challenges overcome, quality and reproducibility of the experiments, and presentation.

* Proceedings and Special Journal Issues
The conference proceedings will be published by Springer in the Lecture Notes in Artificial Intelligence series (LNAI).
Authors of selected papers will be invited to submit a significantly extended version of their paper to two post-conference special issues of the journals “Data Mining and Knowledge Discovery” and “Machine Learning”.

* Submissions
All aspects of the submission and notification process will be handled online via the CMT conference management toolkit at https://cmt.research.microsoft.com/ECMLPKDD2012/ .
The papers must be written in English and formatted according to the Springer LNAI guidelines. Authors instructions and style files can be downloaded at:
http://www.springer.de/comp/lncs/authors.html
The maximum length of papers is 16 pages in this format. Overlength papers will be rejected without review.
Papers submitted should report original work; ECML-PKDD 2012 will not accept any paper which, at the time of submission, is under review or has already been accepted for publication in a journal or another conference. Authors are also expected not to submit their papers elsewhere during the review period. To minimize the impact of this constraint, a significant proportion of rejected papers will be notified at the early notification date.

* Reviewing process
Papers submitted to ECML-PKDD 2012 will normally be reviewed by three referees. The review process is single-blind (reviewer identities unknown to authors) and there will be no opportunity for author rebuttal. This decision was made to minimize reviewer workload and to concentrate it in time, which may ultimately result in better quality reviews and decisions. If necessary, a discussion will take place among the reviewers of a paper until a decision is reached.

* Contact
You can contact the Program Committee Chairs at ECMLPKDD2012pcchairs@cs.bris.ac.uk .
Nello Cristianini, Tijl De Bie and Peter Flach (Intelligent Systems Lab, University of Bristol, UK)

JMLR Special Topic on Gesture Recognition – Second call for papers – Deadline May 15, 2012

The Journal of Machine Learning Research is preparing a special topic on gesture recognition.
Papers relevant to this topic may be submitted to the journal. Please also send email to the guest Editors with your paper number at gesture@ clopinet . com.

The participants of the Gesture Recognition Challenge are strongly encouraged to submit a paper.

We also invite other contributions relevant to gesture recognition, including:
– Algorithms for gesture and activity recognition, in particular addressing
o Learning from unlabeled or partially labeled data
o Learning from few examples per class, and transfer learning.
o Continuous gesture recognition and segmentation
o Deep learning architectures, including convolutional neural networks
o Gesture recognition in challenging scenes, including cluttered/moving backgrounds or moving cameras, or scenes where multiple persons are present.
o Integrating information from multiple channels (e.g., position/motion of multiple body parts, hand shape, facial expressions).
– Data representations
– Applications pertinent to the workshop topic, such as involving:
o Video surveillance
o Image or video indexing and retrieval
o Recognition of sign languages for the deaf
o Emotion recognition and affective computing
o Computer interfaces
o Virtual reality
o Robotics
o Ambiant intelligence
o Games
– Datasets and benchmarks

The papers of the special topic of JMLR will also be reprinted as a book in the CiML series of Microtome.

Guest Editors: Isabelle Guyon and Vassilis Athitsos
gesture@ clopinet . com.

Gesture Recognition Challenge

Dear colleagues,

The Pascal2 sponsored Gesture Recognition Challenge is now open to submit entries:
http://www.kaggle.com/c/GestureChallenge/

Develop a recognizer for the Microsoft Kinect (TM) and win prizes donated by Microsoft:

* First place: USD 5,000
* Second place: USD 3,000
* Third place: USD 2,000

and up to USD 100,000 of Intellectual Property licenses if your algorithm interests Microsoft.

View some data examples: https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-examples

Thank you in advance for your participation!

The organizers

Research Associate in Statistics (SSSM)

Applications are invited for a postdoctoral research associate to work with Dr Giampiero Marra on the development of flexible simultaneous equation estimation methods. This research is funded by a grant from the EPSRC.

The post is available from January 2012 (or as soon as possible thereafter) and is funded for 14 months in the first instance.

More information can be found here.

Closing Date: 9 January 2012

PhD positions (4-years of PhD study) and Postdoc positions (1 year, extendable) within the framework of the ERC Advanced Grant A-DATADRIVE- B (PI: Johan Suykens)

The research group K.U. Leuven ESAT-SCD is currently offering new PhD
positions (4-years of PhD study) and Postdoc positions (1 year,
extendable) within the framework of the ERC Advanced Grant A-DATADRIVE-
B (PI: Johan Suykens)
http://www.kuleuven.be/research/erc/suykens.html.

Different research positions (PhD/postdoc) are oriented towards

-1- Prior knowledge incorporation
-2- Kernels and tensors
-3- Modelling structured dynamical systems
-4- Sparsity
-5- Optimization algorithms
-6- Core models and mathematical foundations
-7- Next generation software tool

The research group ESAT-SCD http://www.esat.kuleuven.be/scd/ at the
university K.U. Leuven Belgium provides an excellent research
environment being active in the broad area of mathematical
engineering, including systems and control theory, neural networks and
machine learning, nonlinear systems and complex networks,
optimization, signal processing, bioinformatics and biomedicine.

The research will be conducted under the supervision of Prof. Johan
Suykens. Interested candidates having a solid mathematical background
and master degree can apply for these positions by sending their CV
and motivation letter to johan.suykens@esat.kuleuven.be. For further
information on these positions you may contact
johan.suykens@esat.kuleuven.be.

Marie Curie Initial Training Network – call for for European partners with expertise in causal discovery methods to complete our consortium

I am currently putting together a Marie Curie Initial Training Network proposal and I am searching for European partners with expertise in causal discovery methods to complete our consortium. Expertise in Structural Equation Models is particularly welcome. If you are interested to get more information, please contact me. Details on the proposal follow.

Ioannis Tsamardinos
Head of Bioinformatics Laboratory, ICS, Foundation for Research and Technology, Hellas
Assistant Professor, Computer Science Department, University of Crete

Budget:

The ITN pays for early researchers (Ph.D., post-docs, research staff) salaries (about 38K for Ph.D-level with less than 4 years of research experience and 87K for Post-doc-level a year, adjusted slightly for each country). The ITN also pays for traveling to workshops, summer schools, students/researchers exchanges and secondments, as well as equipment and other research-related expenses (e.g., biological experiments). The exact amount is negotiated AFTER the proposal has been accepted; for some expenses there are flat fees, e.g., the student salaries that I mentioned above. Usually these programs range between 2-4million euro with 6-10 partners.

Responsibilities:

The responsibilities of a partner while the program is running are the following:
* supervise the students/early researchers
* travel to the program’s annual workshops and summer schools and give lectures (about 2 hours or so)
* accept students at your institution for a few weeks as secondments to get training
* perhaps, participate in the supervision of students of other partners in the program; the reviewers always appreciate exploiting the synergies among different partners

Science and Technology Part

The purpose of an ITN is to train researchers in their early stages and give them the best start in their careers, the skills they need, experience with working and interacting with the industry and getting to know several network of people in the field. Each partner will propose up to 2 projects for early researchers that is interested in, as long as they are related to the general ITN theme. Hopefully, interactions will emerge and partners will participate in other partners projects too.

A PostDoc Position in Machine Learning.

Research Area: Low-Rank Matrix Recovery and Approximation, Sparse Coding.

Project Description: Applications are invited for an open Postdoctoral
Research Scientist position at SUNY at Buffalo, Department of
Computer Science and Engineering, in the area of
machine learning. Qualified candidates must have a Ph.D. in
machine learning or related areas with
outstanding research record and experience. The grant support will be
3 years.

The successful candidate will conduct basic research and
interact with the principal investigator, graduate students, and
collaborators. The Computer Science department at SUNY Buffalo is among
the oldest CS departments nationwide with a strong focus on computer
vision and machine learning.
See http://www.cse.buffalo.edu/ for more information.

Salary is sufficiently competitive. If you are interested in joining
this research project as a Postdoctoral Fellow, please contact:

Yun (Raymond) Fu, Principal Investigator
Department of Computer Science and Engineering
State University of New York (SUNY) at Buffalo
201 Bell Hall Buffalo, NY 14260-2000, USA
Ph: +1 (716) 645 2670
Email: yunfu@buffalo.edu
Web: http://www.cse.buffalo.edu/~yunfu/

Funded PhD studentships, School of Informatics, Edinburgh

We would like to advertise the following studentships starting in 2012. Please circulate to those who might be interested.

Microsoft Research Funded PhD Scholarship in Machine Learning Markets
Supervisor: Amos Storkey
a.storkey(at)ed.ac.uk

Microsoft Research Funded PhD Scholarship in Statistical Machine Learning and Natural Language Processing of Programming Language Text
Supervisor: Charles Sutton
csutton(at)inf.ed.ac.uk

School of Informatics, University of Edinburgh
Duration of Studentships: 36 months
Preliminary deadline: 16 December 2011

For further information see

http://homepages.inf.ed.ac.uk/amos/jobsphds.html

http://homepages.inf.ed.ac.uk/csutton/projects.html#nlppl

The 12th European Conference on Computer Vision – Call for Papers

Call for Papers

Deadline for submissions: March 5th, 2012

http://eccv2012.unifi.it/
October 7-13th 2012 – Firenze, Italy

ECCV2012 solicits submissions for papers that describe scientific
achievements and long term research challenges, point to new research
directions, or provide new insights or brave perspectives that pave
the way to innovation. Subjects of interest are computer vision and
aspects of related disciplines (such as machine learning, computer
graphics, biological vision, mathematics) which illuminate the state
of the art in computer vision.

The conference website http://eccv2012.unifi.it provides instructions
for paper submission as well as calls for tutorials, workshops, demos,
and industrial exhibits.

Accepted papers will be presented in the oral and poster sessions of
the ECCV 2012 technical program. Continuing the top quality tradition
of ECCVs, it will be a single-track conference with double-blind peer
review process.

Important dates:

March 5th 2012 – Paper submission deadline
June 25th, 2012 – Notification of acceptance
August 1st, 2012 – Camera-ready submission deadline’

The University of Nova Gorica (Slovenia) is seeking an experienced researcher in the filed of data mining (text mining)

More information:

http://www.ung.si/en/jobs/id/195603/

and

http://www.ung.si/storage/195607/PublicAdv_Sungreen_angl%20ptf.pdf