- About Us
Doc2Learn (Adobe PDF to Learn) was created at the National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign. We would like to acknowledge NARA and NCSA Industrial Partners for the support. The main creators of Doc2Learn are William McFadden, Sang-Chul Lee, Rob Kooper and Peter Bajcsy. This document represents a current description of multiple on-going research and development efforts and hence it is updated on a regular basis.
The motivation for developing Im2Learn (Image to Learn) comes from academic, government and industrial collaborations that involve development of new computer methods and solutions for understanding complex data sets. Images and other types of data generated by various instruments and sensors form complex and highly heterogeneous data sets, and pose challenges on knowledge extraction. In general, the driver for the Im2Learn suite of tools is to address the gap between complex multi-instrument raw data and knowledge relevant to any specific application.
The Versus API is being developed to facilitate content-based pair-wise file comparison. To this extent, the library abstracts the task of comparing two digital objects into two stages: (1) extraction of feature descriptors (2) computing the similarity measure of features descriptors.