[CPM-SPIRE-L] SISAP 2014 deadlines extended

Edgar Chavez elchavez at gmail.com
Sun May 11 14:06:04 PDT 2014


Apologies for cross-posting

****************
    Please, find bellow the Call for Papers for the 7th International
Conference on Similarity Search and Applications (SISAP 2014).
Deadlines:
    Abstract Registration:  May 19, 2014 (extended)
    Paper Submission:    May 26, 2014 (extended)

    We'd like to ask you to please circulate againd the CFP in your
labs and institutions. We thank you for your support to SISAP 2014.

    Highlights:
    1. Selected papers of SISAP 2014 will be published in the
Information Systems Journal (Elsevier).  The impact factor of the
papers from previous special issues for SISAP is 8.25.
    2. Proceedings will be published by Springer as Lecture Notes in
Computer Science (LNCS).
    3. Two great talks by:
        Prof. K. Selçuk Candan –  Arizona State University, USA:
(Scalable Retrieval and Analysis of Simulation and Observation Data
Sets)
        Prof. Daniel Keim –  University of Konstanz, Germany: (Visual
Analytics for Interactive Subspace Similarity Search)
    4. A really nice location in Los Cabos, Mexico!

    We anticipate a great conference!
    Please, visit us at:  http://www.sisap.org/2014/

Program Chairs
Agma Juci Machado Traina, University of São Paulo, Brazil
Caetano Traina Jr., University of São Paulo, Brazil

//--------------------------------
Our apologies for cross-posting

Dear Colleague,

    Please, find next the CFP for SISAP 2014. We´d like to ask you to
please circulate the CFP in your lists.  We´d like to highlight that
we continue the tradition of having the special issue of the
Information Systems Journal  with the best papers of SISAP.  The
impact factor of the papers previously published in the Information
Systems Journal special issues for SISAP is 8.25 (Journal of Citation
Reports).
     Also, the two keynote speakers are confirmed:
Prof. K. Selçuk Candan –  Arizona State University, USA
Prof. Daniel Keim –  University of Konstanz, Germany

We anticipate a great conference!
Please, visit us at:  http://www.sisap.org/2014/

=============================================
CALL FOR PAPERS - SISAP 2014
7th International Conference on Similarity Search and Applications

http://www.sisap.org/2014/

Los Cabos, Mexico, Oct 29-31, 2014

-------
Scope
-------
The 7th International Conference on Similarity Search and Applications
(SISAP) is an annual forum for researchers and application developers
in the area of similarity data management. It aims at the
technological problems shared by numerous application domains, such as
data mining, information retrieval, computer vision, pattern
recognition, computational biology, geography, biometrics, machine
learning, and many others that need similarity searching as a
necessary supporting service.

The SISAP initiative (www.sisap.org) aims to become a forum to
exchange real-world, challenging and innovative examples of
applications, new indexing techniques, common test-beds and
benchmarks, source code and up-to-date literature through its web
page, serving the similarity search community. Traditionally, SISAP
puts emphasis on the distance-based searching, but in general the
conference concerns both the effectiveness and efficiency aspects of
any similarity search problem.

The series started in 2008 as a workshop and has developed over the
years into an international conference with Lecture Notes in Computer
Science (LNCS) proceedings. As in previous editions, a selection of
the best papers will be published in a special issue of Journal
Information Systems. In 2014, SISAP will take place in Los Cabos,
Mexico.

-------
Topics
-------
The specific topics include, but are not limited to:
-Similarity queries – k-NN, range, reverse NN, top-k, etc.
-Similarity operations – joins, ranking, classification,
categorization, filtering, etc.
-Evaluation techniques for similarity queries and operations
-Merging/combining multiple similarity modalities
-Cost models and analysis for similarity data processing
-Indexing and access methods for similarity-based processing
-Scalability issues and high-performance similarity data management
-Feature extraction for similarity-based indexing and retrieval
-Feature selection
-Test collections and benchmarks
-Performance studies, benchmarks, and comparisons
-Similarity search over outsourced data repositories
-Similarity search cloud services
-Languages for similarity databases
-New modes of similarity for complex data understanding
-Applications of similarity-based operations
-Visual analitics for similarity-based operations
-Image, video, voice, and music (multimedia) retrieval systems
-Similarity for forensics and security
-Surveillance and defense

----------------------------------------
Paper Submission and Publication
----------------------------------------
Papers submitted to SISAP 2014 must be written in English and
formatted according to the LNCS guidelines
(http://www.springer.com/computer/lncs). Full papers can be up to 12
pages, while short papers, case-studies/applications, and demos can be
up to 6 pages (read below for types of contribution). By submitting a
paper, its authors commit to having the paper presented at the
conference by at least one of them if the paper is accepted.

Papers will be submitted in PDF format through EasyChair
(https://www.easychair.org/conferences/?conf=sisap2014).
If you experience any problems during the submission, you can contact
the organization at sisap2014 at icmc.usp.br


Contributions

Authors are invited to submit previously unpublished papers on their
research in the area of similarity search and applications. Papers
should present original research contributions which bring out the
importance of algorithms to applications. SISAP submissions can be of
three kinds (full details will be announced shortly):
- Research papers (full and short): SISAP accepts both full (12 pages)
and short papers (6 pages). The full papers are expected to be
descriptions of complete technical work, while the short papers will
describe interesting, innovative ideas, which nevertheless require
more work to mature - vision papers should also be submitted as short
papers. All papers, regardless of size, will be given an entry in the
conference proceedings.
- Case-studies and applications: Submissions describe applications of
existing similarity search technologies to interesting problems,
including a description of the encountered challenges, how they were
overcome, and the lessons learned. All papers on this track will be
given an entry in the conference proceedings and a presentation slot,
though the presentation slot duration may be shorter than for full
research papers.
- Demonstration papers: Submissions should provide the motivation for
the demonstrated concepts, the information about the technology and
the system to be demonstrated (including a system description,
functionality and figures when applicable), and should state the
significance of the contribution. Evaluation criteria for the
demonstration proposals include: the novelty, the technical advances
and challenges, and the overall practical attractiveness of the
demonstrated system. Demonstration papers will also be given an entry
in the conference proceedings – online demos are expected at the
conference.

-----------
Keynotes speakers
-----------
- K. Selçuk Candan – Professor of Computer Science and Engineering at
the Arizona State University: Scalable Retrieval and Analysis of
Simulation and Observation Data Sets

- Daniel Keim – Head of the Information Visualization and Data
Analysis Research Group, University of Konstanz, Germany: Visual
Analytics for Interactive Subspace Similarity Search


-----------
Important
-----------
When:                   Oct 29-31, 2014
Where:                  Los Cabos, Mexico
Abstract Registration:  May 19, 2014 (extended)
Submission Deadline:    May 26, 2014 (extended)
Notification:           Jun 23, 2014
Final Version:          Jul 12, 2014

Publication: Lecture Notes in Computer Science (LNCS), and a selection
of the best papers will be published in a special issue of Journal
Information Systems.

-----------
Program Chairs
-----------
Agma Juci Machado Traina, University of São Paulo, Brazil
Caetano Traina Jr., University of São Paulo, Brazil


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