MAD 2011 - International Workshop on Maritime Anomaly Detection

Website http://mad.uvt.nl | Edit Freely

Category machine learning, pattern recognition, artificial intelligence, outlier detection, maritime domain

Deadline: May 29, 2011 | Date: June 17, 2011

Venue/Country: Tilburg, Netherlands

Updated: 2011-05-27 17:14:30 (GMT+9)

Call For Papers - CFP

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: maduvt.nl