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Lecture Notes in Computer Science
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will vary per query, per user, or per database. No single, fixed distance measure would be satisfactory all the time. This paper focuses on a method to adapt distance measure to the database to be queried by using learning-based dimension reduction algorithms. We experimentally compare six such dimension reductiondoi:10.1007/978-3-540-79860-6_16 fatcat:lo5bcpw25nc77gegimjwdy7eja