Call for Papers 36th Applied Imagery Pattern Recognition Workshop (AIPR 2007) Call for Papers Designing to See vs. Learning to See: Comparing Analytical and Adaptive Methods Cosmos Club, Washington D C October 10-12, 2007 Many research and development efforts within the imagery pattern recognition field have focused either on technical approaches that require an a priori detailed analysis of the underlying imagery mechanisms (“design”), or on techniques that dynamically modify their operation in response to some established performance measures (“learning”). The AIPR 2007 Workshop will examine the strengths and weaknesses of these approaches and their potential to lead to new, successful applications. The program will include paper presentations, poster and demonstration sessions, panel discussions, and a moderated debate on a key but contentious technical issue. The workshop is organized around four primary themes: Advances in Methods, Comparative Studies, Combining Adaptation and Analysis, and Application Domains. Each primary theme will be focused on research which examines the theoretical limitations, observed performance, and future potential of these approaches. Advances in Methods Papers are sought on algorithms, software, and hardware that advance the current state-of-the-art in analytical and/or adaptive methods for imagery pattern recognition. Theoretical papers should also include a discussion of empirical results for real-world applications. Comparative Studies Papers are sought which quantitatively compare state-of-the-art analytical and adaptive methods. Papers should not be restricted to a simple comparison of error rates, but should instead report multiple aspects of the techniques’ performance (e.g, speed, reliability, etc.). Combining Adaptation and Analysis Papers are sought which seek to use both analytical and learning techniques to achieve superior performance to that which can be obtained by either approach alone. Such papers should report empirical comparisons of combined performance to the observed performance of other methods using real-world data. Application Domains This session will examine the suitability of analytical or adaptive methods for a variety of application domains, such as medical imaging and remote sensing. Papers describing innovative application areas are especially welcome. General Chair – Bob Bonneau chairman@aipr-workshop.org Program Co-Chairs – Mark Happel & Murray Loew programchair@aipr-workshop.org Abstract submission deadline is 15 July 2007. Plain-text email, to programchair@aipr-workshop.org, is the preferred method for submission of abstracts. We invite your participation in the conference as a speaker or as an attendee. AIPR Home Page: http://www.aipr-workshop.org/. Written papers will be required for accepted works and will be published in the AIPR Proceedings. 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. AIPR 2007 is sponsored by the IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence and by the AIPR Executive Committee: Dedicated to facilitating the interchange between government, industry, and academia. ================================================================================