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AIPR 2011 : Applied Imagery Pattern Recognition

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Conference Series : Applied Imagery Pattern Recognition Workshop
 
Link: http://www.aipr-workshop.org
 
When Oct 11, 2011 - Oct 13, 2011
Where Washington D.C.
Abstract Registration Due Jul 1, 2011
Submission Deadline Nov 30, 2011
Notification Due Aug 1, 2011
Final Version Due Nov 30, 2011
Categories    image   pattern   vision   learning
 

Call For Papers

40th Applied Imagery Pattern Recognition - 2011 Call for Papers


AIPR 2011: Imaging for Decision Making
Cosmos Club, Washington DC
October 11-13, 2011

Many decisions of national and international importance require critical information from imaging. These range from measuring the impact of deforestation, to assessing the severity of chemical spills and natural disasters, to identifying threats based on surveillance, to screening large populations for disease. Many of the problems are hard; for example, recent oil spill issues included an extremely large search area, low concentrations and submerged bodies of oil, low signal-to-noise ratios, and the need for repeated monitoring. Decision-making can depend on obtaining reliable imagery observations under these kinds of conditions, often with urgency. A second challenging aspect arises from the need to communicate results to the public in highly politicized environments: making clear the effect of uncertainties on the overall conclusions, and dealing with public perceptions of the role and biases of science and engineering, may be as important as the actual work being carried out.

Subject areas of the Workshop are expected to address:

• Hard problems and prioritization in image analysis
• Role of remotely sensed data in executive decision making
• End-to-end modeling of the acquisition-to-decision process
• Collection and use of massive databases
• New technologies and approaches
• Historical or retrospective papers.

Application areas of interest include, but are not limited to the following: elucidation of the problem areas requiring specific imaging data and the technical problems needing resolution, development of new theory and methods, characterization of uncertainty and its effect on decisions, theoretical advances in image processing and pattern recognition, performance analysis and benchmarking, and applications of image processing and pattern recognition to medical imaging and life science applications, climate change, agriculture, target tracking, biometrics, law enforcement and homeland security applications, forensic analysis, behavior recognition and analysis, and mapping and geospatial information.

The Applied Imagery Pattern Recognition Workshop promotes and encourages the interdisciplinary interchange of ideas. The purpose of the annual AIPR workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines.

Abstracts are being accepted on a rolling basis for both oral and poster presentations now through July 1, 2011. Send abstracts (150 - 300 words) and inquires to: Frank Tanner (program@aipr-workshop.org). To encourage early submissions, authors will be provisionally notified of acceptance, rejection, or deferral within 30 days of submission with final decisions being provided by August 1, 2011. Accepted works must have at least one speaker registered for the workshop by September 1, 2011 in order to be published in the AIPR proceedings and to secure a speaking slot.

Written papers will be required for accepted works being published in the AIPR Proceedings. Final written papers are due by November 30, 2011 to allow authors to revise their papers based upon workshop feedback. The AIPR Home Page can be found at http://www.aipr-workshop.org/.

Students: An award will be presented to the best student paper as judged by the organizing committee!

AIPR is sponsored by the IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence, and organized by the AIPR Workshop Committee, with generous support from Cybernet Systems Corporation and Booz Allen Hamilton.

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