Promises and Challenges in Automatic Pattern Recognition

Details Promises and Challenges in Automatic Pattern Recognition Promises and Challenges in Automatic Pattern Recognition

Jul 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aspc..314..239h&link_type=abstract

Astronomical Data Analysis Software and Systems (ADASS) XIII, Proceedings of the conference held 12-15 October, 2003 in Strasbou

Computer Science

Performance

Scientific paper

Pattern recognition is to identify and model regularities in empirical data by algorithmic processes. Successful application of the established methods requires good understanding of their behavior and how well they match a particular context. Difficulties can arise from either the intrinsic complexity of a problem or a mismatch of methods to problems. We describe our efforts in characterizing the intrinsic complexity of a classification problem and its relationship to classifier performance. We discuss how Mirage, an exploratory data analysis tool, is designed to help integrate domain expertise into the process of solution development.

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