Ontology highlight
ABSTRACT:
SUBMITTER: Sariyanidi E
PROVIDER: S-EPMC7508311 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Sariyanidi Evangelos E Zampella Casey J CJ Bartley Keith G KG Herrington John D JD Satterthwaite Theodore D TD Schultz Robert T RT Tunc Birkan B
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 20200601
Finding the largest subset of sequences (i.e., time series) that are correlated above a certain threshold, within large datasets, is of significant interest for computer vision and pattern recognition problems across domains, including behavior analysis, computational biology, neuroscience, and finance. Maximal clique algorithms can be used to solve this problem, but they are not scalable. We present an approximate, but highly efficient and scalable, method that represents the search space as a ...[more]