Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle

Yoshiki Tanaka, Kuniaki Uehara. Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle. In Petra Perner, Azriel Rosenfeld, editors, Machine Learning and Data Mining in Pattern Recognition, Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, Proceedings. Volume 2734 of Lecture Notes in Computer Science, pages 252-265, Springer, 2003. [doi]

Abstract

Abstract is missing.