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This paper is concerned with the problem of mobile robot localization using a novel compact representation of visual landmarks. With recent progress in lifelong maplearning as well as in information sharing networks, compact representation of a large-size landmark database has become crucial. In this paper, we propose a compact binary code (e.g. 32bit code) landmark representation by employing the semantic hashing technique from web-scale image retrieval. We show how well such a binarydoi:10.1109/robot.2010.5509579 dblp:conf/icra/IkedaT10 fatcat:6ogi7h7t6bgebnq7eefgc3dule