Propagation Graph Estimation by Pairwise Alignment of Time Series Observation Sequences.
Tatsuya HayashiAtsuyoshi NakamuraPublished in: CoRR (2020)
Keyphrases
- pairwise
- sequence alignment
- global alignment
- dynamic time warping
- graph matching
- quasi periodic
- pairwise interactions
- multiple sequence alignment
- sequence matching
- similarity measure
- loss function
- multiple sequence alignments
- directed acyclic graph
- multiple alignment
- graph structure
- directed graph
- multidimensional time series
- random walk
- sequential data
- graph representation
- multi class
- hidden markov models
- higher order relations
- belief propagation
- graph model
- graph theory
- non stationary
- sequence databases
- bipartite graph
- markov random field
- min cut
- graphical models
- higher order
- parameter estimation
- longest common subsequence
- information propagation
- pairwise similarities
- subsequence matching
- statistical significance
- spanning tree
- social networks
- structured data
- protein sequences