46th Annual IEEE AIPR, Big Data, Analytics, and Beyond Call for Papers

Call for Papers: AIPR 2017

46th Annual IEEE AIPR 2017:
Call For Papers
Big Data, Analytics, and Beyond 
Washington DC 

October 10-12, 2017

The purpose of the Applied Imagery Pattern Recognition (AIPR) annual
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. The papers span a range of
topics, from research to fielded systems and provide to scientists,
developers, and managers alike, a broad vision of the applicability of
image analysis and machine learning technologies.

Big data analytics and advanced computer hardware have pushed the
limits of computational imaging and machine vision, yielding
extraordinary results in domains such as:

- Robotics and autonomous systems 
- Big imaging datasets for medical, atmospheric, neurological, and more 
- Cloud computing - Scalable and inexpensive parallel computational resources 

The Workshop Committee invites papers that present new techniques,
algorithms, analysis, applications, visualizations, systems,
theoretical insights and hardware developments to the interplay
between imaging and artificial intelligence.

Deadline for abstracts: 31 May 2017

For more information visit our website http://www.aipr-workshop.org/