LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. - Eamonn J. Keogh; Li Wei 001; Xiaopeng Xi; Sang-Hee Lee 003; Michail Vlachos (VLDB, 2006)

Compression-based data mining of sequential data. - Eamonn J. Keogh; Stefano Lonardi; Chotirat Ann Ratanamahatana; Li Wei 001; Sang-Hee Lee 003; John C. Handley (Data Min. Knowl. Discov., 2007)

Finding the most unusual time series subsequence: algorithms and applications. - Eamonn J. Keogh; Jessica Lin 001; Sang-Hee Lee 003; Helga Van Herle (Knowl. Inf. Syst., 2007)

Augmenting the generalized hough transform to enable the mining of petroglyphs. - Qiang Zhu 002; Xiaoyue Wang 004; Eamonn J. Keogh; Sang-Hee Lee 003 (KDD, 2009)

Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures. - Eamonn J. Keogh; Li Wei 001; Xiaopeng Xi; Michail Vlachos; Sang-Hee Lee 003; Pavlos Protopapas (VLDB J., 2009)

An efficient and effective similarity measure to enable data mining of petroglyphs. - Qiang Zhu 002; Xiaoyue Wang 004; Eamonn J. Keogh; Sang-Hee Lee 003 (Data Min. Knowl. Discov., 2011)