A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
General match: a subsequence matching method in time-series databases based on generalized windows
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Duality-Based Subsequence Matching in Time-Series Databases
Proceedings of the 17th International Conference on Data Engineering
Nonuniform segment-based compression of motion capture data
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
IEEE Transactions on Information Theory
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Time series data appears in numerous applications including medical data processing, financial analytics, network traffic monitoring, and Web click-stream analysis. An essential task in time series mining is efficiently finding matches between similar time series or parts of time series in a large dataset. In this work, we introduce a new definition of subseries join as a generalization of subseries matching. We then propose an efficient and robust solution to subseries join (and match) based on a non-uniform segmentation and a hierarchical feature representation. Experiments demonstrate the effectiveness of our approach and also show that this approach can better tolerate noise and phase-scaling than previous work.