[CPM-SPIRE-L] Deadline extended: SISAP 2015 Similarity Search and Applications

[Edgar Chavez]

LAST CALL FOR PAPERS. Extended deadlines

Abstract Registration: May 18, 2015
Submission Deadline: May 25, 2015
Notification: June 29, 2015
Final Version: July 19, 2015.
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Call for papers - SISAP 2015
8th International Conference on Similarity Search and Applications
http://www.sisap.org/2015/ Glasgow, Scotland, UK, October, 12 - 14, 2015
Follow us on Twitter @sisap2015
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Scope
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The 8th 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.
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Topics
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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 analytics for similarity-based operations
- Image, video, voice, and music (multimedia) retrieval systems
- Similarity for forensics and security
- Surveillance and defense

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Paper Submission and Publication
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Papers submitted to SISAP 2015 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=sisap2015).
If you experience any problems during the submission, you can contact the
organization at sisap2015 at isti.cnr.it

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):
* 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. Contributions can also
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,
regardless of size, will be given an entry in the conference proceedings.
* 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
(4 pages) will also be given an entry in the conference proceedings –
online demos are expected at the conference.
* Posters: Domain-specific spaces and similarities: papers that challenge
and motivate for searching in new spaces (i.e. domain-specific similarity
search). This type of contribution is expected to provide a thorough study
of the non/metric space properties (e.g., its intrinsic dimension) or the
similarity measure, and must include code for the similarity computation
and datasets for the Web site. For this kind of paper a real-world
domain-specific application of similarity search is expected (e.g.,
multimedia databases, (bio)chemical & medical databases, biometric
databases, scientific & sensory databases, etc.). Poster contributions (6
pages) will also be given an entry in the conference proceedings.


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Special Session for Industry
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A special session devoted to industrial applications and case studies on
similarity search will also take place. A separate call for papers will be
issued later in due time.

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Important
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When: October 12-14, 2015
Where: Glasgow, Scotland, UK
Abstract Registration: May 18, 2015 (extended)
Submission Deadline: May 25, 2015
Notification: June 29, 2015
Final Version: July 19, 2015.

Publication: Lecture Notes in Computer Science (LNCS), and selected best
papers will be hosted in a special section of Information Systems journal.
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Keynote speech
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Bobby Jaros - Yahoo! : Deep Learning
Rasmus Pagh -  IT University of Copenhagen, Denmark: Large-scale Similarity
Joins
Billy Wallace - Founding Developer, ThinkAnalytics: Television Recommeder
Systems
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Organization
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Local arrangements and Finance chair
Richard Connor, University of Strathclyde, Glasgow, UK

Steering Committee
Edgar Chavez, Universidad Nacional Autónoma de México, Mexico Pavel Zezula,
Masaryk University, Czech Republic

Program chairs
Richard Connor, University of Strathclyde, Glasgow, UK Giuseppe Amato, ISTI
- CNR, Pisa, Italy

Publicity chair
Claudio Gennaro, ISTI - CNR, Pisa, Italy

Publications chair
Fabrizio Falchi, ISTI - CNR, Pisa, Italy
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