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Similarity Search in Arbitrary Subspaces

Similarity Search in Arbitrary Subspaces. Xiang Lian, PhD Candidate, and Lei Chen, Assistant Professor. { xlian , leichen }@ cse.ust.hk. Sponsored by MSRA Internet Services Theme Invitation Award. In image databases, each image is represented by a d- dimensional feature vector

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Similarity Search in Arbitrary Subspaces

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  1. Similarity Search in Arbitrary Subspaces Xiang Lian, PhD Candidate, and Lei Chen, Assistant Professor {xlian, leichen}@cse.ust.hk Sponsored by MSRA Internet Services Theme Invitation Award • In image databases, each image is represented by a d-dimensionalfeature vector • A similarity query retrieves images whose feature vectors are within distance from a user-specified query vector • Instead of searching in the full feature space, our work aims to answer similarity queries in arbitrary subspaces images feature vectors query vector … … … subspace [1] Xiang Lian and Lei Chen. Similarity Search in Arbitrary Subspaces under Lp-Norm. In ICDE, 2008. [2] Xiang Lian and Lei Chen. A General Cost Model for Dimensionality Reduction in High Dimensional Spaces. In ICDE, 2007.

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