MAD 2011 - International Workshop on Maritime Anomaly Detection

Submissions are solicited for the first international workshop on
Maritime Anomaly Detection (MAD 2011), an interdisciplinary workshop
on all aspects of anomaly detection in the maritime domain. The
workshop will be held on Friday June 17 in Tilburg, The Netherlands
and will be organized by the Tilburg center for Cognition and
Communication (TiCC) in cooperation with the School for Information
and Knowledge Systems (SIKS).

You may visit http://mad.uvt.nl for the latest information.

* Overview

The field of maritime anomaly detection encompasses the detection of
suspicious or abnormal vessel behavior in potentially very large
datasets or data streams (e.g., radar and AIS data streams). To
support operators in the detection of anomalies, methods from machine
learning, data mining, statistics, and knowledge representation may be
used. The scientific study of anomaly detection brings together
researchers in computer science, artificial intelligence, and
cognitive science. For the maritime domain, anomaly detection plays a
crucial role in supporting maritime surveillance and in enhancing
situation awareness. Typical applications include the prediction of
collisions, the detection of vessel traffic violations, and the
assessment of potential threats.

The goal of MAD 2011 is to bring together researchers from academia
and industry in a stimulating discussion of state-of-the-art
algorithms for maritime anomaly detection and future directions of
research and development. The workshop program includes invited talks,
contributed talks, and posters. Contributed talks and posters will be
selected on the basis of quality and originality. Accepted abstracts
will be published in the MAD workshop proceedings.

* Topics

Topics of interests include, but are not limited to:

- Anomaly, Outlier, and Novelty Detection
- Machine Learning / Pattern Recognition / Data Mining
- (Online) Active Learning / Human-in-the-Loop Approaches
- Feature Selection / Metric learning
- (Dis)similarity measures / kernels for vessel trajectories
- Generating artificial anomalous vessel trajectories
- Incorporating / Representing / Visualizing Maritime Domain Knowledge
- We welcome contributions in the form of case studies and
contributions concerning anomaly detection in other domains that may
be of relevance to the maritime domain.

* Submission

Electronic submission of abstracts is required. Abstracts may be up to
2 pages in length, including references. Formatting and submission
instructions are available on the workshop website at http://mad.uvt.nl/submission/.
The deadline for abstract submissions is: Friday May 29, 2011, 23:59
UTC.

All accepted abstracts will be presented at the workshop either as
contributed talks or as posters, and will be published in the MAD
workshop proceedings. Papers for talks and posters will be treated
equally in publication.

We are requesting a special issue in a relevant journal on the subject
of Maritime Anomaly Detection. We intend to publish a selection of the
submitted abstracts as extended papers.

* Invited Speakers

- David Aha (U.S. Naval Research Laboratory, Navy Center for Applied
Research in Artificial Intelligence)
- Maurice Glandrup (Thales Naval Netherlands, Above Water Systems)

* Organizing Committee

- Jeroen Janssens (Tilburg University)
- Eric Postma (Tilburg University)
- Johanna Hellemons (Tilburg University)

* Contact

Email: mad-AT-uvt.nl