Multi-Vector Feature Space Based on Pseudo-Euclidean Space and Oblique Basis for Similarity Searches of Images

Yasuo Yamane, Tadashi Hoshiai, Hiroshi Tsuda, Kaoru Katayama, Manabu Ohta, Hiroshi Ishikawa. Multi-Vector Feature Space Based on Pseudo-Euclidean Space and Oblique Basis for Similarity Searches of Images. In Laurent Amsaleg, Björn Þór Jónsson, Vincent Oria, editors, Proceedings of the First International Workshop on Computer Vision meets Databases, CVDB 2004, June 13, 2004, Paris, France. Volume 66 of ACM International Conference Proceeding Series, pages 27-34, ACM, 2004. [doi]

Abstract

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